agentleFS
sarveshtalelesarveshtalele/devcrew/.claude/skills/scout/SKILL.md

scout

Skill1 starsChanged 3 months agoMITView on GitHub

Answer a codebase question by delegating the search to a subagent, so only the answer enters the main context — not the files. Use before any change to unfamiliar code, and instead of grepping the tree yourself.

47 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use expand, explain and 9 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.
  • andrewclark88Skill

    expand

    Expand a project's scope by updating its foundation documents. Reads existing north-star.md (or north-star-<project>.md), architecture.md, and roadmap.md, understands the codebase state, then interviews the user about the expansion. Updates foundation docs and roadmap so design can consume them in the next phase. Use when adding a major capability, new subsystem, or architectural shift — not for small one-offs (use feature for those).

    Also in 3 projects that use this

  • sunnyclinches44Skill

    explain

    Explains code using real-world analogies and ASCII diagrams

    Also in 5 projects that use this

  • WordPressSkill

    blueprint

    Use when the deliverable is WordPress Playground Blueprint JSON or a Blueprint bundle, including creating, editing, reviewing, validating schema keys, choosing steps/resources, and debugging Blueprint files. For only running or sharing a Playground environment, use wp-playground.

    Also in 3 projects that use this

  • AWSSkill

    issue

    Implement a GitHub issue end-to-end — branch, code, test, docs, and commit.

    Also in 3 projects that use this

  • HK-hubSkill

    distill

    Strip designs to their essence by removing unnecessary complexity. Great design is simple, powerful, and clean. Use when the user asks to simplify, declutter, reduce noise, remove elements, or make a UI cleaner and more focused.

    Also in 3 projects that use this

  • VercelSkill

    remotion-best-practices

    Best practices for Remotion - Video creation in React

    Also in 4 projects that use this

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 43 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Never run a tree-wide grep/rg for content from the main thread.

    line 25
  2. Distinctive:

    Ask one question per subagent.

    line 27

“Common” is measured: kept by at least 6 in 10 of the 43 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

Investigate: $ARGUMENTS

Why this exists. Exploration is the single largest source of wasted context. Reading twelve files to answer one question costs 15–40k tokens and leaves all twelve in your window for the rest of the session. A subagent reads them in its own context and returns six lines.

Procedure

  1. Check the cheap sources first. In order, stop as soon as one answers it:
    • .devcrew/project-facts.json — stack, manifests, test dirs, CI, size. Already computed, costs nothing.
    • docs/adr/ — if the question is "why", the answer is probably already written down.
    • rg -l '<symbol>' --glob '!node_modules' — file list only, not contents.
  2. Then delegate. One subagent, scoped narrowly:

    Search only <paths>. Answer exactly: <question>. Return the handoff block — file:line references and a ≤6-line answer. Do not paste file contents.

  3. Parallelize independent questions in a single message. Three subagents at once cost the same wall-clock as one.
  4. Record the answer where it belongs — an ADR if it is a decision, Project-Context.md if it is a standing fact. A question answered twice is a documentation defect.

Rules

  • Never run a tree-wide grep/rg for content from the main thread. token-guard blocks the worst of it; this skill is the alternative.
  • Scope every search to a directory. "Search the repo" is not a scope.
  • Ask one question per subagent. A subagent asked three things returns a summary of a summary.
  • Reject file dumps. If a subagent returns 200 lines of source, the prompt was wrong — re-ask with "file:line references only".

Output

ANSWER: <≤6 lines>
EVIDENCE: <file:line, file:line>
CONFIDENCE: high | medium | low — <what would raise it>
TOKENS: ~Nk (subagent), ~Nk (returned)

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.