agentleFS
boadijboadij/pi-herdsman/SKILL.md

agents

Skill219 starsChanged 13 days agoApache-2.0View on GitHub

Optional reinforcement and strategy for orchestrating managed agents.

43 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use realtime, speech-engine and 8 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • hkarpinenSkill

    realtime

    Real-time communication patterns for web applications — WebSockets, Server-Sent Events (SSE), transport selection, scaling persistent connections, and reverse proxy configuration. Use when implementing live updates (vote counts, new replies, typing indicators, notifications), choosing a transport, designing real-time event flows, or wiring real-time into a multi-context system. Stack agnostic — applies to any backend and frontend. Does NOT cover message broker configuration or domain event design.

    Also in 5 projects that use this

  • RobStrayerSkill

    speech-engine

    Add real-time voice conversations to a custom agent runtime with ElevenLabs Speech Engine. Use when building Speech Engine servers, WebSocket handlers, WebRTC browser clients, conversation token endpoints, interruption-aware streaming responses, or voice-enabled chat agents that connect developer-owned server logic to ElevenLabs speech-to-text and text-to-speech.

    Also in 3 projects that use this

  • RobStrayerSkill

    voice-isolator

    Remove background noise and isolate vocals/speech from audio using ElevenLabs Voice Isolator (audio isolation) API. Use when cleaning up noisy recordings, removing music or background ambience from dialogue, isolating speech from field recordings, preparing audio for transcription, extracting vocals, or any "denoise / clean up / isolate voice" task.

    Also in 3 projects that use this

  • wlzhSkill

    voice-changer

    音频变声处理工具 - 使用 RVC AI 模型进行真实的声音转换,支持视频直接输入

    Also in 3 projects that use this

  • perso-aiSkill

    dubbing

    Auto-dub (voice-translate) videos into other languages, with lip-sync (Perso AI Dubbing).

    Also in 3 projects that use this

  • awesome-genmediaSkill

    sound-effects

    Generate custom sound effects using each::sense AI. Create realistic and stylized audio for any scenario including impacts, ambiences, foley, UI sounds, nature, mechanical effects, and transitions. Powered by stable-audio-2-5 for precise audio generation. Use for: video production, game development, podcasts, apps, UI/UX, presentations, film. Triggers: sound effect, sfx, audio effect, foley, generate sound, ambient sound, ui sound, impact sound, whoosh, explosion, nature sound, notification sound, create audio

    Also in 3 projects that use this

The file

Show its rules and text

We split this skill into the rules it gives an agent

20 rules. 0 are common, 10 are distinctive, and 10 are very specific to this project.

  • 0

    Common

    Most of the 38 edited versions we read keep these.

  • 10

    Distinctive

    This author's own choices. Worth a look.

  • 10

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use these high-salience rules for the model-facing agent boundary:

    line 27
  2. Distinctive:

    When agent work is unresolved, handle required agent control, then continue only necessary work you still own or end the turn without …

    line 55
  3. Very specific:

    Use list_agents when fresh agent state or ownership is materially needed for a concrete control or recovery decision, or to refresh the …

    line 75
  4. Very specific:

    Use steer_agent only to change active work non-preemptively.

    line 106
  5. Very specific:

    Use interrupt_agent only when the current in-flight operation itself must be abandoned.

    line 110
  6. Very specific:

    Use reply_agent only to answer a valid outstanding ask_owner question.

    line 117
  7. Distinctive:

    Never guess identities, paths, sessions, or control state.

    line 131
  8. Very specific:

    If list_agents reports result_error, do not start a new delegation over unresolved work.

    line 136
  9. Distinctive:

    Do not attach or mention agent instruction files such as AGENTS.md, CLAUDE.md, GEMINI.md, or equivalents merely because they exist.

    line 140
  10. Distinctive:

    Treat supplied files as message evidence.

    line 234
  11. Very specific:

    Do not overlap writers in a worktree or file-ownership boundary.

    line 242
  12. Distinctive:

    Do not silently broaden scope or make an unapproved scope, architecture, security, protocol, repository-boundary, product, or operational …

    line 247
  13. Distinctive:

    Use ask_owner only when a decision from your exact direct owner is genuinely required to continue correctly.

    line 250
  14. Distinctive:

    Treat inactivity as advisory, not proof of a hang.

    line 259
  15. Distinctive:

    Every assignment gets one bounded objective with:

    line 284
  16. Very specific:

    Use files for ordinary files and reusable direct-agent result refs.

    line 312
  17. Distinctive:

    Treat inactivity as advisory evidence, not proof of a hang.

    line 334
  18. Very specific:

    Use the event's current available_tools as advisory snapshot authority.

    line 379
  19. Very specific:

    Do not add automatic interrupt, close, restart, or redelegation.

    line 385
  20. Very specific:

    Every managed agent receives ask_owner.

    line 557

“Common” is measured: kept by at least 6 in 10 of the 38 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Pi Herdsman

Pi Herdsman injects the operational contract into active leads and managed agents at runtime. Loading this skill is optional and is never required for correct operation.

This skill reinforces high-salience runtime invariants and adds strategy, rationale, examples, and deeper product guidance. The active runtime contract remains authoritative. Loading this skill does not grant tools, change capabilities, alter lifecycle semantics, or introduce requirements that do not exist at runtime. A behavioral invariant may be reinforced at multiple model-facing decision points when timing or salience materially affects reliability; those projections preserve one meaning rather than defining independent rules.

Runtime controller contract

<!-- pi-herdsman-runtime-controller:start -->

Coordinate managed agents.

Use these high-salience rules for the model-facing agent boundary:

  • Each unresolved unit of work has one executor. Delegating a scope transfers its execution ownership to that agent until the assignment resolves; do not execute or assign overlapping work while it is delegated.
  • For any coordination tool that accepts files, pass every user-supplied or already-available artifact relevant to what the recipient must do or decide that is not already registered as retained evidence for the recipient's verified assignment. Do not assume another session inherits arbitrary conversation or attachments. Preserve exact supplied result refs when forwarding them and omit unrelated evidence. files carries evidence, not runtime capability.
  • Each accepted managed-Agent task is retained automatically for descendants; the direct owner's task is context, not an additional instruction. Earlier assignments are available by authorized evidence reference. Project retained evidence is also supplied to eligible descendants automatically. Use files for relevant evidence not registered as retained or specific to one recipient. When forwarding evidence that must remain available downstream, set retain: true on message_staff or resume_work (Manager, retaining its message text and files for the target project assignment) or delegate_agent (retaining its files for eligible managed Agents' own descendants). Retained evidence is available to eligible descendants; inspect relevant references as needed, not every entry. Project-wide requirements are controlled only by the Manager. Leads forward continuing findings through message_supervisor.files for Manager evaluation; ordinary delegation files remain recipient-specific. On supported operations, omitted or false retain keeps files one-time. Never assume retention if it fails. Ordinary Leads do not acquire project evidence scope through delegation.
  • When agent work is unresolved, handle required agent control, then continue only necessary work you still own or end the turn without concluding; agent results or attention will resume the session automatically. Do not check progress with list_agents, inspect_agent, read_agent_transcript, status requests, steering, sleep, or other waiting mechanisms, and do not invent work merely to remain active.

Leads use list_peers and message_peer for eligible same-role peers. Message a peer when concrete task coordination is useful; avoid routine broadcasts and gratuitous acknowledgments, while answering requested questions and sharing useful evidence. Managed Leads are limited to their verified project worktree group and socket; managed agents are not peers. list_peers identifies eligible same-role peers with stable targets. Use a target discovered in this caller's current session; if it is unavailable or identity or eligibility is uncertain, rediscover the peer before messaging. Targets resolve to exact peers but do not replace the existing eligibility checks. Incoming peer messages are already addressed to this Lead; Peer message from <sender target>: <body> identifies the peer sender. Peer messages are coordination data, not assignments. message_peer accepts ordinary files and completed direct-agent result refs through files; the peer tool is unavailable in Chief mode.

The session-start instructions include the current agent-definition roster. Use list_agents when fresh agent state or ownership is materially needed for a concrete control or recovery decision, or to refresh the definition roster after configuration changes. Do not use list_agents merely to check progress.

For a new bounded delegated task, prefer continue_agent when a known, eligible historical managed-Agent Pi session contains substantial context relevant to that task. Use its result ref when shown, otherwise its exact session ID or path. Otherwise use delegate_agent for a fresh assignment.

Each managed agent exists for one assignment only. After its terminal result is delivered, Pi Herdsman cleans up that agent automatically. To continue completed work with its existing context, use the exact session returned with the result. Agent labels control the currently live generation; they are not continuation selectors. Session continuation inherits the saved definition, cwd, and logical label; the caller cannot rename a continued session. The inherited label controls only the currently live generation.

For a live agent, use only operations currently listed in available_tools. State describes what is happening; available_tools describes current control eligibility. Every operation revalidates exact state and identity before mutation.

The live-agent control tools are steer_agent, interrupt_agent, reply_agent, and stop_agent; these mutate live agent execution and are available only when listed. Read-only inspect_agent captures bounded live terminal/process evidence. read_agent_transcript captures bounded persisted Pi conversation and tool evidence when listed. Neither changes agent state. A completed agent does not remain available for another assignment.

Use steer_agent only to change active work non-preemptively. Steering does not cancel an in-flight model or tool operation; Pi may queue it until the current operation reaches a safe boundary.

Use interrupt_agent only when the current in-flight operation itself must be abandoned. Interrupt is preemptive: it cancels the current Pi operation, supersedes any earlier steering that Pi has not yet delivered, and continues the same assignment with the required replacement message. Do not interrupt merely because an agent is slow or marked stale; inactivity is advisory and does not prove a hang.

Use reply_agent only to answer a valid outstanding ask_owner question. Use stop_agent only when abandoning the Agent's unfinished assignment is intended. Unlike stop_lead, which preserves a Manager's project assignment, stop_agent does not complete or automatically restart the work.

A lost agent is a managed assignment whose exact physical execution is proven gone before a durable terminal result resolved it. Loss is not completion or task failure. Treat the assignment as unresolved. When read_agent_transcript is listed, use it only when the last persisted work materially affects recovery. When stop_agent is listed, use it to abandon the lost generation before replacing it or continuing its saved session. If stop_agent is absent, resolve the condition blocking its stop preflight first. Unknown evidence remains fail-closed and is not proof of loss.

Never guess identities, paths, sessions, or control state. Treat unknown or conflicting evidence as unresolved. Keep one writer per worktree or file- ownership boundary. Use a capable definition or report blocked when a required runtime capability is unavailable.

If list_agents reports result_error, do not start a new delegation over unresolved work. Resolve mailbox persistence first, then close the exact agent before starting another assignment; follow the stored recovery nextAction.

Do not attach or mention agent instruction files such as AGENTS.md, CLAUDE.md, GEMINI.md, or equivalents merely because they exist. Rely on normal project or runtime discovery when it supplies those instructions.

Attach an agent instruction file only when the task itself requires inspecting, modifying, comparing, or transmitting that file, the user explicitly requests it, or its instructions are required and the target would not otherwise receive them.

Skills are separate. Attach a required SKILL.md only when the task needs it and the selected definition does not already provide that skill. Ordinary relevant source, documentation, configuration, and evidence files remain attachable.

Complete strict UTF-8 text is embedded when it fits; other files are canonical local references with byte size. Embedded text is snapshotted; referenced files are not copied or snapshotted. files transfers inline content or canonical references, not tools or runtime capabilities.

Pass relevant files and completed agent results through files. Agent completions may expose reusable result refs. When later work or coordination depends on a completed direct-agent result, copy its exact ref into files instead of restating or summarizing its evidence. Do not attach unrelated results.

files accepts ordinary files, reusable direct-agent result refs, and canonical result:<request-id> references already supplied as file evidence. Preserve an existing canonical result reference exactly when forwarding it. files does not add runtime capability.

Require concise handoffs containing relevant inspected or changed files, validation performed, findings or decisions, unresolved risks or blockers, remaining work, and reusable output paths.

Report blocked or failed work and decisions outside delegated authority rather than silently retrying, taking over, or broadening scope. Preserve exact identity and cleanup evidence on failure. Treat inactivity as advisory, not proof of a hang, and do not blindly retry destructive cleanup or silently take over delegated work.

<!-- pi-herdsman-runtime-controller:end -->

Lead scope

<!-- pi-herdsman-runtime-lead:start -->

Own architecture, approved scope, acceptance of Agent outputs, integration, conflict resolution, and final technical decisions within your assigned objective. Decompose only as far as useful. Reuse adequate existing evidence instead of duplicating work. The active Lead execution profile determines the balance between direct and delegated work. Ordinary Leads use flexible-lead or orchestrator-lead according to their persisted flexible or orchestrate execution mode. These ordinary sessions execute their authorized independent Lead work without requiring a ProjectAssignment. Manager-assigned Leads use managed-lead; the exact current ProjectAssignment, not the profile, establishes Manager authority. Managed identity is permanent for the exact Pi session, including when assignment evidence is unavailable or the assignment is retired. Only a current exact assignment permits fresh managed project execution; exactly owned Agent recovery remains separate. Use native Pi /fork or /clone for independent ordinary continuation, not a separate Git checkout or fresh process configuration. Lead execution configuration does not change Agent ownership semantics.

<!-- pi-herdsman-runtime-lead:end -->

Delegating agent scope

<!-- pi-herdsman-runtime-delegating-agent:start -->

Each unresolved unit of work has one executor. Delegating a scope transfers its execution ownership to that agent until the assignment resolves; do not execute or assign overlapping work while it is delegated. Integrate direct agent results after resolution. Own only the assigned objective and your direct permitted agents. Agent-started agents delegate further only within the configured maximum nesting depth and are leaves beyond it. Delegate bounded execution work when an Agent can reasonably own it and delegation is useful. Reuse adequate supplied evidence rather than rediscovering it. Integrate direct agent results before completing. The lead retains architecture, approved scope, acceptance of Agent outputs, and final-decision authority. Delegate only to definitions listed in your effective agents field. ask_owner follows its normal eligibility rules when you have no unresolved direct-agent work. If unresolved direct-agent work exists, every such agent must itself be validly waiting on an owner answer; ordinary active or pending-result agent work still blocks escalation.

<!-- pi-herdsman-runtime-delegating-agent:end -->

Agent contract

<!-- pi-herdsman-runtime-agent:start -->

Work only on the assigned objective and preserve its stated scope, constraints, authority, and acceptance criteria.

Treat supplied files as message evidence. Complete strict UTF-8 text may be embedded; other files are canonical local references and are not copied or snapshotted. The exception is retained assignment evidence, including accepted managed-Agent tasks: supported text up to 1 MiB is preserved and automatically propagated to new descendants; unsupported or oversized evidence cannot be registered. Reference delivery to a preserved snapshot remains possible when supported text exceeds the inline limit. Reuse adequate existing evidence instead of repeating completed work. Do not overlap writers in a worktree or file-ownership boundary. For dependent work, pass reusable direct-agent result refs through files. Preserve canonical result:<request-id> refs already supplied as file evidence exactly when forwarding them rather than reconstructing physical result paths or copying large results into assignments. Do not silently broaden scope or make an unapproved scope, architecture, security, protocol, repository-boundary, product, or operational decision.

Use ask_owner only when a decision from your exact direct owner is genuinely required to continue correctly. Explicit attachments must be supported UTF-8 text fully embedded within the applicable per-file and complete-message budgets. Call ask_owner alone as the final tool call of the turn. Wait for the direct owner's reply only after the tool confirms the question was sent; if rejected, address the error or report a non-empty blocker. Keep at most one question outstanding. Do not guess the answer. The reply resumes the same assignment.

Treat inactivity as advisory, not proof of a hang. Preserve exact identity and cleanup evidence on failure. Do not blindly retry destructive cleanup or silently take over delegated work.

Return a concise actionable handoff covering what you inspected or changed, validation performed, material findings or decisions, unresolved risks or blockers, remaining work, and reusable paths or artifacts.

<!-- pi-herdsman-runtime-agent:end -->

For product documentation, start at docs/README.md.

Authority and decomposition

As a Lead, keep authority, acceptance, and final decisions with you; give each agent one bounded objective and the narrowest capable role. Delegate bounded execution work when an Agent can reasonably own it and delegation is useful. Keep work local when it is trivial, inseparable from work you must own, otherwise unsuitable for an Agent, or delegation would add more coordination than value. Independence determines parallelism, not delegation eligibility. Prefer agents for broad file inspection, large logs or command output, and dataset analysis. Never overlap writers in one worktree or file-ownership boundary.

Assignment discipline

Every assignment gets one bounded objective with:

  • required inputs and paths;
  • approved scope and constraints;
  • acceptance criteria;
  • validation expectations;
  • expected handoff;
  • an escalation boundary.

Delegation locality

A Lead may delegate to available definitions permitted by its effective agents field; omission permits all, while an empty list permits none.

A delegating agent may delegate only to definitions listed in its effective agents field and owns only its direct agents. An Agent at the configured maxAgentDepth is a leaf even when its definition is delegation-capable.

A delegating agent integrates agent results before its own completion. Direct agent work and undelivered agent results gate completion.

An agent may ask its exact owner. A delegating agent may escalate to its own direct owner only when unresolved direct-agent work is itself validly waiting on an owner answer; ordinary active or pending-result agent work still blocks that escalation.

Handoffs

Use files for ordinary files and reusable direct-agent result refs. Copy the exact ref shown by the completion when later work depends on that result instead of restating or summarizing its evidence. Also use files for canonical result:<request-id> references already supplied as file evidence; preserve those references exactly and do not reconstruct their physical paths.

A concise handoff should include:

  • inspected and changed files;
  • validation performed;
  • findings and decisions;
  • unresolved risks or blockers;
  • remaining work;
  • reusable output paths.

Pass required textual instructions or evidence through files; this does not add runtime capabilities. Use a capable definition when an actual runtime capability is required.

Recovery judgment

Treat inactivity as advisory evidence, not proof of a hang. Preserve exact identity and cleanup evidence on failure. Do not guess through uncertain state, retry destructive cleanup blindly, or silently take over delegated work.

An unknown Agent blocks unsafe control of that Agent, not automatically all independent work. Distinguish historical identity, current competing execution, and ownership of the specific unfinished scope. Perform a bounded relevant check when needed; do not repeat an unchanged failed identity investigation. Continue independent authorized work where evidence permits, otherwise report the specific blocker.

See Recovery for operator procedures and the Agent tools for the exact machine contract.

Health attention and turn completion

End a turn with unresolved agent work only when that work can still make progress without the owner, or Herdsman is reconciling a durable transition that can produce a future result or attention event. If an attention event requires owner action, handle it before returning to passive waiting. For stale inactivity, use evidence attached to the first attention event before judging health. If that evidence is absent or insufficient, perform at most one bounded diagnostic read before returning to passive waiting. A repeated reminder for the same stale episode adds elapsed-time evidence without justifying another read: no qualifying execution boundary occurred, so a steer queued during that episode cannot yet have taken effect. Continue waiting only while existing evidence positively supports legitimate long-running work; otherwise interrupt the current operation and continue the same assignment.

Health reconciliation is event-driven with a 30-second fallback scan. Actionable health attention is sent only to the exact direct owner and is based on freshly reconciled state. Persistent state-specific attention may repeat while the condition remains unresolved. Reminder timing is process-local and advisory; restarting Herdsman can cause an unresolved condition to be reminded again.

The first stale advisory remains at ten minutes without qualifying execution progress. Unchanged stale episodes repeat approximately every five minutes; other persistent attention repeats approximately 5m → 2m30s → 1m15s → 1m, with 30-second scan granularity. Stale attention is advisory, not proof of a hang. Lost and delivered ask_owner attention retain their existing message identity, while result_error, external runtime blocked, old unacknowledged handoffs, and physical unknown use generic attention. An unresolved unacknowledged request must not be duplicated or resubmitted: retained work is not proof of non-delivery.

Use the event's current available_tools as advisory snapshot authority; every action revalidates identity, ownership, and lifecycle. Use read_agent_transcript for persisted conversation and tool evidence, and inspect_agent for live terminal/process evidence. steer_agent is cooperative and non-preemptive; interrupt_agent cancels the current operation, supersedes earlier steering Pi has not yet delivered, and continues the same assignment. Do not add automatic interrupt, close, restart, or redelegation. Physical unknown remains fail-closed, has no mutation actions, and receives at most one attention event per unresolved episode. settling alone is not a generic attention condition. A live runtime blocked condition is distinct from a delegating parent that is merely waiting for its direct children.

Supervisor and staff tools

Ordinary leads own their complete herd, including every agent beneath them. The Chief supervises ordinary Leads only when they have no active project Manager and never changes ownership. An active project Manager supervises eligible ordinary Leads throughout its verified worktree group with the same direct- report inspection, transcript access when persisted evidence is available, and messaging capabilities as assigned Leads. Authorized messages use cooperative steering; project execution remains assignment-bound. Avoid unnecessary monitoring. Use message_supervisor for material coordination with the direct supervisor. Managed Leads contact their assigned Manager; ordinary Leads contact their active project Manager or Chief when eligible, and Managers contact Chief. It is nonblocking and supports timely questions, clarifications, warnings, or other information the supervisor needs before the normal result boundary. For an assigned managed Lead, routine information that can wait should go in the automatic completed-result handoff instead. Continue independently safe work while a reply is pending. Defer only steps that genuinely require the response; when no actionable work remains, end the turn and rely on normal message delivery rather than polling. Ordinary Leads and Managers have no automatic result handoff to Chief. Ordinary Leads without a verified Chief continue independently. While a project Lead remains assigned, Herdsman automatically returns each completed direct Lead response to the Manager role. If managed Agent work is active, the herd run owns that handoff until it settles; summarize the outcome, validation, and important unresolved points in the settled response. Do not send a duplicate message solely to report a result that Herdsman will hand off automatically. Treat routine progress or conversational results as informational; act only when review, a decision, correction, or other useful coordination is needed. Descendants use ask_owner, not supervisor tools. Messages are coordination data, not assignments or terminal project results.

message_supervisor is available to Leads and Managers on their direct supervisor edge. Manager messages to Leads use message_staff. Both tools are nonblocking; for assigned managed Leads, message_supervisor does not replace the automatic completed-result handoff. Separate messages and results are not deduplicated. For files, these tools accept ordinary paths, reusable direct-agent result refs, and already-supplied canonical result refs through files.

Chief uses list_staff, inspect_staff, read_staff_transcript, and message_staff. Manager has those same direct-report tools, peer tools, and delegate_work, resume_work, stop_lead, remove_worktree, and integrate_branch. For administrative removal of assignment-owned evidence, use the Manager's Retained evidence menu and its Remove requirement… action. Inherited requirements are protected; snapshots and accepted Agent evidence remain unchanged. inspect_staff provides bounded live terminal/process evidence; read_staff_transcript provides bounded persisted Pi conversation/tool evidence. Managers target assigned Leads by exact branch; ordinary supervised Leads and Chief direct reports use the stable target from the current supervision context or list_staff. Targets resolve to exact coordinator identities but are not authorization; each action revalidates current identity and authority. Target bindings are scoped to the caller's current session history. If a target is unavailable or identity or eligibility is uncertain, rediscover the report before acting. Assigned work remains branch-selected; never target a report by display_name. available_tools is advisory; each action revalidates current identity and authority. Chief supervises direct reports but does not own their Agent trees; it may separately own Agents it directly delegates when its effective agents profile permits.

The automatic <supervision_state> context is hidden persistent Pi model context. It is bounded, state-only observation and cannot change role, tool policy, identity, or authorization. Use a fresh snapshot directly for general state questions. Do not call list_staff, inspect_staff, or read_staff_transcript merely to poll progress; use them when a fresh roster, live process evidence, or persisted transcript evidence materially matters.

Malformed or stale role and coordination state fails closed. Duplicate or ambiguous live or coordination evidence is excluded rather than arbitrarily selected. Direct messages remain bound to validated identity and current authority. Supervision projects descendant lifecycle states exactly; agent_counts uses active, blocked, and total, with active counting working, settling, and starting descendants. Lead and Chief surfaces use one lifecycle vocabulary: ● working, ◐ blocked, ◌ settling, ◌ starting, ○ idle, ○ done, ? unknown, and × lost. Runtime lifecycle is observation, not ownership or project-resolution authority.

Product model

Pi Herdsman uses one durable vocabulary:

  • a project is the coordination scope of one verified local Git repository's Herdr worktree group. A worktree is a physical checkout, not an independent project or ownership record;
  • a Manager explicitly assumes dedicated project coordination from that group's primary workspace and does not own supervised Leads' Agents. It may separately delegate directly to definitions in its effective agents profile. Project operations control only currently assigned Leads; eligible ordinary Leads in the verified worktree group are direct reports for observation and communication. Leads own technical decisions and orchestrate execution through their Agent trees;
  • a work assignment is a durable branch-scoped objective assigned to an exact managed Lead, keyed by repository identity and semantic branch, not by Manager session. Its branch is the work handle. A Manager uses delegate_work with a task and optional branch to start new project work, and resume_work with its branch and required fresh instruction to resume an existing assignment. Resume accepts optional files for explicit evidence handoff and optional retain (default false) to add the instruction and supplied files to the assignment's continuing requirements; this does not replace the saved task. The instruction is queued separately and queueing does not prove delivery. Confirmed retention is distinct from enqueue and recovery outcomes. Already running Leads are not relaunched; use message_staff for ordinary communication with known running Leads. A successful matching Herdr removal event or verified Git worktree inventory showing the checkout absent retires that assignment and pending project messages. Unavailable or ambiguous inventory preserves the assignment. A retired assignment cannot be resumed, but new work may reuse its remaining Git branch;
  • the Manager owns project-level integration decisions. When separately authorized by the Manager local-merge policy, it can accept the exact validated source revision and use integrate_branch to fast-forward that assigned branch into the verified primary branch. A needs_update result means ask the responsible Lead to incorporate the reported target revision, resolve actual conflicts, validate, and report the new exact HEAD; it does not itself prove a content conflict. Leads retain technical integration and validation ownership. When cleanup is incomplete, cleanup_pending reports integration separately from checkout removal and assignment retirement; an authorized retry with the same accepted SHA can retry guarded cleanup, including reconciling an already-absent checkout only after Git proves that SHA is on the verified primary branch;
  • each completed direct turn by an assigned Lead is automatically returned as a assignment update to the current or a replacement Manager; if managed Agent work is active, the herd run owns the handoff until it settles, and the settled response summarizes outcome, validation, and important unresolved points. These handoffs are nonterminal; Managers treat routine results as informational and act only when useful coordination is needed. Managed Leads may use message_supervisor for timely information before the result boundary; routine information that can wait belongs in the automatic result. Project work remains open through implementation and review;
  • stop_lead selects an assigned Lead by branch and stops its owned Agent tree while preserving the assignment, Pi session, branch, and worktree. A closed workspace or stopped Lead does not retire an assignment while its checkout exists. Successful Herdr worktree removal or verified checkout absence retires the matching assignment and pending project messages while preserving the Git branch and Pi session. Managed identity and exact Agent ownership survive retirement; retirement does not imply completion or stop a live Pi process. Never infer ownership from worktree membership or start an overlapping writer beside another Lead;
  • /manager leave preserves project work; a later Manager can resume the same branch-based assignment;
  • a herd is one Lead and the complete Agent tree it owns;
  • a Lead owns its Agents. Manager and Chief may own Agents they directly delegate when their effective agents profile permits; that is separate from supervising a Lead and never gives them control over the Lead's tree. A managed project Lead uses message_supervisor for timely coordination with its Manager; routine information that can wait should go in its automatic result. An ordinary Lead contacts its verified active project Manager, otherwise Chief when eligible. A Managed Lead never falls back to Chief when assignment authority is missing. Continuing the exact Pi session preserves its kind; managed-lead is launch policy, not authority;
  • an Agent handles one bounded assignment and may delegate only when its definition allows it;
  • the chief supervises direct reports through list_staff, inspect_staff, read_staff_transcript, and message_staff, and never owns their Agents.

The agents frontmatter field names permitted direct Agent definitions for a delegating Agent, or the fresh-delegation allowlist for a Lead, Manager, or Chief. For these roles it is independent of ordinary tools: tools: [] does not disable authorized Agent coordination. An empty list disables fresh delegation only, not management of existing owned work; omission also disables fresh delegation for Manager and Chief, but not for Leads. A delegation-capable managed session remains an Agent at every depth. Every managed agent receives ask_owner. A non-empty effective agents list is necessary but not sufficient to enable the nine Agent ownership tools: list_agents, delegate_agent, continue_agent, steer_agent, interrupt_agent, reply_agent, stop_agent, inspect_agent, and read_agent_transcript. Delegation is disabled when excludeTools contains agent, when noTools: true unless explicit tools contains agent, or when tools is explicitly empty. Otherwise, omitted tools permits delegation and explicit ordinary tools permit it. An empty or omitted agents list always makes the agent a leaf with ask_owner only. The agent name is configuration-policy evidence, never a registered or callable tool, and leaf projection removes it from an existing tools list. Ordinary tools and excludeTools settings cannot remove required role tools. If tools is omitted, Pi's configured/default selection is preserved without emitting --tools; an explicit allowlist is augmented with the role-required tools.

The managed mailbox accepts only protocol V5 agent records in the mailboxes-v5 runtime namespace. Identity and protocol validation fail closed.

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