agentleFS
wayne930242wayne930242/straw-boss/skills/boss-say/SKILL.md

boss-say

Skill5 starsChanged 55 days agoMITView on GitHub

Use when the user or prompt explicitly names boss say, or when work spans multiple managed apps.

The file

We split this skill into the rules it gives an agent

11 rules. About 0 are common, 7 are distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈7

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Ask only when the name is ambiguous.

    line 13
  2. Very specific:

    Read the offered Orchestrator handoff file and route its transferred scope above.

    line 18
  3. Distinctive:

    After the owner, graph, and anchor are established, accept from this receiving pane:

    line 19
  4. Very specific:

    Use the established route facts.

    line 27
  5. Distinctive:

    Every group whose checkpoint is shared gets one checkpoint task depending on the tasks it covers, and those tasks dispatch with their …

    line 41
  6. Distinctive:

    Use the invocation's concurrency cap or documented project/provider policy.

    line 46
  7. Very specific:

    Read --in-flight and --ready through plan queries.

    line 53
  8. Distinctive:

    Use one status watcher for a plan driven in this turn.

    line 62
  9. Very specific:

    Start it with boss-say <slug> and dynamic pacing, then report how to stop it.

    line 66
  10. Distinctive:

    When that capability is absent, keep the persisted plan and name the supported continuation event.

    line 67
  11. Distinctive:

    Complete when: every item is terminal and cleaned up, or has a recorded blocker and next event.

    line 74

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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

Route the work

Select the owning skill, resolve the target through resolving-app, and apply choosing-graph. Carry bounded work here; use a separate workroom when app ownership, interaction, or continuity warrants one. Source-changing work follows the target's leveraging-tasks route and shipping-task.

For boss say <skill> <work>, invoke the matching skill with the work. Ask only when the name is ambiguous. A status query or single-dispatch close-out goes directly to dispatching-work.

Receive an orchestrator handoff

Read the offered Orchestrator handoff file and route its transferred scope above. After the owner, graph, and anchor are established, accept from this receiving pane:

uv run --script "${CLAUDE_PLUGIN_ROOT}/scripts/accept-orchestrator-handoff.py" \
  --handoff-path <path> --owner <owning-skill> \
  --coordination-graph '<graph>' --reality-anchor '<anchor>'

Use the established route facts. Carry the existing approval and scope exclusions from the handoff record. Acceptance moves the handoff's listed dispatches to this pane; coordinate its transferred_dispatches from here.

Plan and schedule

This skill owns task decomposition, dependency edges, and scheduling. Reuse the user's specified tasks and decisions; ask only about an unresolved scope or dependency choice. A task is the largest item one worker can own end to end in one resolved app. A dependency carries the prerequisite's exact artifact path in both briefs when output is required.

For multiple app-rooted workers, write ~/.straw-boss/plans/<slug>/plan.json using Plan file, and create its status/ and artifacts/ directories. Independent items have depends_on: []; dependent work uses the same plan with explicit edges. Name each task's anchor here, which settles where its checkpoint runs. Every group whose checkpoint is shared gets one checkpoint task depending on the tasks it covers, and those tasks dispatch with their checkpoint marked shared. Correctness and contract findings return as fix tasks in the same plan, and each covered change-set takes its disposition from that one result. State the slug and task summary. Resolve source-changing items' lifecycle modes through Select the mode, reusing a batch-wide answer where applicable.

Use the invocation's concurrency cap or documented project/provider policy; otherwise use 4 as the scheduling fallback. Reduce it for observed contention and report the reason. Incompatible shared-checkout writers remain queued.

On entry and each persisted status revision:

  1. Handle checkpoints through dispatch events, and terminal tasks through wrap-up. Resolve a confirmed same-task continuation before cleanup.
  2. Read --in-flight and --ready through plan queries. Launch at most cap - in-flight ready tasks, each through its lifecycle owner and dispatching-work. Pending user checkpoints still hold slots.
  3. Report the coordination delta. If every in-flight task is waiting, identify the blocker and next event. Use peeking-work when the user asks or observed evidence disagrees with recorded state.

A failed or cancelled prerequisite leaves its dependents blocked. Report the blocked tasks and resolve their next action with the user; only done satisfies a dependency. A retry gets a fresh instruction through the normal launch path.

Run or resume the plan

Use one status watcher for a plan driven in this turn. Persisted status is the scheduling authority; live Herdr notifications accelerate delivery.

For a self-paced backlog, use the harness's loop skill when available. Start it with boss-say <slug> and dynamic pacing, then report how to stop it. When that capability is absent, keep the persisted plan and name the supported continuation event.

A /loop tick resumes the existing slug, runs one scheduling round, then calls ScheduleWakeup with noop: true only when nothing changed. Changed state uses noop: false; terminal completion uses {stop: true}. These calls belong only to actual loop ticks. Unchanged waiting stays quiet.

Complete when: every item is terminal and cleaned up, or has a recorded blocker and next event. Report outcomes across the whole plan through reporting-to-user; stop the watcher or loop when every task is terminal. Review and completion references come from each lifecycle owner's result.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.