agentleFS
ArcanEdge-AIArcanEdge-AI/coding-agent-playbook-codex/skills/reference-doc-routing/SKILL.md

reference-doc-routing

Skill3 starsChanged 3 months agoMITView on GitHub

Use when a task may need engineering-design, architecture, testing, access-control, design-system, API, release, data-model, subagent, or worktree-lifecycle reference documents. Helps select relevant docs, classify authority, and pass concise context to subagents.

1 other project uses a version of this.

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The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill to choose and apply reference documents without polluting the main context.

    line 8
  2. Distinctive:

    Read only relevant sections when possible.

    line 17

≈ “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

Reference Doc Routing Skill

Use this skill to choose and apply reference documents without polluting the main context.

Consult references/README.md for the packaged reference catalog and references/reference-doc-routing.md for the complete authority and conflict-resolution guidance. For non-trivial or consequential design choices, consult references/engineering-design.md. Use the starter files listed in the catalog when creating repository-owned reference documents.

Workflow:

  1. Identify which parts of the task need reference context.
  2. Find relevant global and repository-level docs.
  3. Classify each document as authoritative, advisory, or historical.
  4. Read only relevant sections when possible.
  5. Summarize useful context for the current task.
  6. Pass only relevant document paths or sections to subagents.
  7. Require implementation-relevant claims to be checked against current code, tests, schemas, configuration, or runtime behavior.
  8. Report conflicts between docs and primary evidence.

Primary evidence includes:

  • current code
  • tests
  • schemas
  • configuration
  • logs
  • build output
  • typecheck output
  • runtime behavior
  • authoritative external documentation

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