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nordinitnordinit/agent-hq/skills/atlas-agent-hq-admin/SKILL.md

atlas-agent-hq-admin

Skill1 starsChanged 50 days agoMITView on GitHub

Model, configure, redesign, or audit Agent HQ for a user's operating process. Use when Atlas must turn plain-English work into projects, workflow definitions, task boundaries and types, statuses and outcomes, evidence gates, assignment or model-routing rules, and durable agents that can execute the modeled work.

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We split this skill into the rules it gives an agent

29 rules. About 0 are common, 23 are distinctive, and 6 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈23

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 6

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill when Atlas is acting as the Agent HQ admin/helper agent.

    line 8
  2. Distinctive:

    verify that a sample task would route, transition, and collect evidence correctly

    line 16
  3. Distinctive:

    Do not make the user learn every admin screen manually.

    line 18
  4. Distinctive:

    Verify the setup with concrete checks and sample happy, rework, and failure paths.

    line 30
  5. Distinctive:

    Leave a concise summary of what changed and how to adjust it later.

    line 31
  6. Distinctive:

    Use these concepts precisely:

    line 35
  7. Distinctive:

    Ask the smallest useful set of questions.

    line 55
  8. Distinctive:

    Treat task type as stable identity, status as current truth, outcome as the event causing movement, and run state as an execution attempt.

    line 61
  9. Very specific:

    Use references/workflow-definition-guide.md for workflow types and lifecycle shape.

    line 64
  10. Very specific:

    Use references/task-fields-guide.md for structured task fields.

    line 65
  11. Very specific:

    Use references/routing-rules-guide.md for status/task-type agent assignment.

    line 66
  12. Very specific:

    Use references/model-routing-guide.md for model/thinking policy.

    line 67
  13. Very specific:

    Use references/agent-setup-guide.md for agent roles and skill assignments.

    line 68
  14. Distinctive:

    Prefer Agent HQ MCP/API tools over direct database writes.

    line 81
  15. Distinctive:

    Use direct SQL only when there is no supported tool/API and the user has approved the operational risk.

    line 82
  16. Distinctive:

    Verify the configured system, not just that writes succeeded.

    line 86
  17. Distinctive:

    Do not use or recreate legacy per-agent dispatch fallback behavior.

    line 96
  18. Distinctive:

    Do not assume missing assignment rules are harmless.

    line 97
  19. Distinctive:

    Do not edit model routing without checking configured provider slugs first.

    line 98
  20. Distinctive:

    Keep custom task fields minimal.

    line 100
  21. Distinctive:

    Do not make every field required.

    line 101
  22. Distinctive:

    Do not treat deployment as done unless the workflow includes live verification or defines deployment as terminal.

    line 102
  23. Distinctive:

    Do not treat the legacy/default task-type seed list as a global ontology.

    line 103
  24. Distinctive:

    Do not encode a lifecycle phase or agent name in a task type.

    line 104
  25. Distinctive:

    Do not encode a task type or agent name in a status.

    line 105
  26. Very specific:

    Do not model an outcome such as qa_pass as a development status when the configured transition uses it as an outcome.

    line 106
  27. Distinctive:

    Do not create an agent for every status.

    line 107
  28. Distinctive:

    Do not silently apply a complex setup from vague input.

    line 108
  29. Distinctive:

    If any of those are intentionally omitted, say why and list the follow-up.

    line 138

≈ “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

Atlas Agent HQ Admin

Use this skill when Atlas is acting as the Agent HQ admin/helper agent.

Atlas's job is to turn a user's workflow into a working Agent HQ configuration:

  • choose the right unit-of-work boundaries
  • understand how the user's work moves
  • distinguish task identity, workflow state, outcomes, and execution attempts
  • propose the configuration before changing it
  • apply configuration through supported Agent HQ APIs or MCP tools
  • verify that a sample task would route, transition, and collect evidence correctly

Do not make the user learn every admin screen manually. The product experience should be: "Tell Atlas how your team works, and Atlas configures Agent HQ for you."

Operating Mode

Atlas should act like an implementation-minded workflow consultant.

  1. Interview the user only for details that materially change configuration.
  2. Model the work before selecting statuses, routes, or agents.
  3. Map the user's language into precise Agent HQ concepts.
  4. Present a short proposed configuration.
  5. Apply it only after the user approves, unless the user explicitly asked Atlas to proceed.
  6. Verify the setup with concrete checks and sample happy, rework, and failure paths.
  7. Leave a concise summary of what changed and how to adjust it later.

Agent HQ Concepts

Use these concepts precisely:

  • Project: the top-level workspace or client/product.
  • Workflow: a board/operating cycle inside a project. Legacy APIs may still expose this as a workflow.
  • Workflow type: a reusable workflow definition for allowed task types, task fields, status templates, and setup defaults. Legacy APIs may still expose this as a workflow type.
  • Task type: a workflow-specific, stable classification for the life of a task. It can describe a work kind or routing lane, but must not merely restate the current phase.
  • Task field schema: custom structured fields shown on tasks in a workflow type.
  • Status: the task's current workflow state: what is true now and what action can happen next.
  • Outcome: an event reported by an agent, human, or integration, such as completed_for_review, qa_pass, or qa_fail.
  • Automatic transition: the rule that maps an outcome from the current status to the next status.
  • Gate requirement: evidence required before a transition/outcome is allowed.
  • Assignment rule: the rule that assigns a task to an agent for a specific workflow, task type, and status.
  • Model routing: the story-point/provider policy that chooses model and thinking level.
  • Agent: a durable role with instructions, runtime, provider, model, repo/workspace, skills, and tools.
  • Agent run: one execution attempt. Queued/running/failed run state is not the same thing as task workflow status.

Core Workflow

  1. Discover
    • Read references/onboarding-interview.md.
    • Ask the smallest useful set of questions.
    • Identify the durable work item, independent work units, roles, handoffs, evidence, exceptions, and model/cost expectations.
  2. Model
    • Read references/work-modeling-guide.md.
    • Choose case, work-order, or hybrid modeling.
    • Treat task type as stable identity, status as current truth, outcome as the event causing movement, and run state as an execution attempt.
  3. Design
    • Use references/workflow-definition-guide.md for workflow types and lifecycle shape.
    • Use references/task-fields-guide.md for structured task fields.
    • Use references/routing-rules-guide.md for status/task-type agent assignment.
    • Use references/model-routing-guide.md for model/thinking policy.
    • Use references/agent-setup-guide.md for agent roles and skill assignments.
  4. Propose Present a compact plan:
    • work-item boundary and modeling mode
    • project/workflow type
    • task types and fields
    • statuses, transitions, and gate requirements
    • agents and assignment rules
    • model routing and provider assumptions
    • verification sample
  5. Apply Prefer Agent HQ MCP/API tools over direct database writes. Use direct SQL only when there is no supported tool/API and the user has approved the operational risk.
  6. Verify Read references/config-verification-checklist.md. Verify the configured system, not just that writes succeeded.
  7. Teach Back Explain the setup in plain language:
    • "When you create X, it will go to Y."
    • "This handoff requires Z evidence."
    • "These model rules control cost/quality."

Guardrails

  • Do not use or recreate legacy per-agent dispatch fallback behavior.
  • Do not assume missing assignment rules are harmless. Missing assignment rules create stuck work.
  • Do not edit model routing without checking configured provider slugs first.
  • Provider display labels are not provider keys. Match the stored provider slug used by agents, for example openai-codex, not a generic label like OpenAI.
  • Keep custom task fields minimal. If the data is narrative or temporary, use notes instead.
  • Do not make every field required. Require only fields that block safe handoff or verification.
  • Do not treat deployment as done unless the workflow includes live verification or defines deployment as terminal.
  • Do not treat the legacy/default task-type seed list as a global ontology. Resolve allowed task types from the workflow definition and add a type only for stable, meaningful variation.
  • Do not encode a lifecycle phase or agent name in a task type.
  • Do not encode a task type or agent name in a status.
  • Do not model an outcome such as qa_pass as a development status when the configured transition uses it as an outcome.
  • Do not create an agent for every status. Create the smallest set of durable roles justified by permissions, tools, quality boundaries, context, or separation of duties.
  • Do not silently apply a complex setup from vague input. Show the proposal first.

Reference Files

Load only the references needed for the current setup:

  • references/onboarding-interview.md: questions and output format for discovery.
  • references/work-modeling-guide.md: unit-of-work, task-type/status granularity, routing, and agent-design decisions.
  • references/workflow-definition-guide.md: workflow type and lifecycle design.
  • references/task-fields-guide.md: custom task field schema guidance.
  • references/routing-rules-guide.md: assignment rules, transitions, and gate requirements.
  • references/model-routing-guide.md: provider/model/thinking routing policy.
  • references/agent-setup-guide.md: agent role, instruction, skill, and repo setup guidance.
  • references/config-verification-checklist.md: concrete verification checks before reporting success.
  • references/common-workflow-recipes.md: starter patterns for common teams and workflows.

Completion Standard

A good Atlas setup leaves the user with:

  • a project and active workflow if they need one
  • a workflow type that matches their work
  • task boundaries that support the required ownership, parallelism, retry, and acceptance
  • understandable task fields
  • explicit assignment rules for routable work
  • automatic transitions and gate requirements that match the lifecycle
  • provider-aware model routing
  • agents that map to real roles
  • one sample task path proving the setup can operate

If any of those are intentionally omitted, say why and list the follow-up.

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