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juliusbrussee/caveman-explore

juliusbrussee

caveman-explore

Read-only repository explorer. Use PROACTIVELY for cold-start exploration, broad cross-file localization, or when a direct search has failed and you need to find where something lives. Skip it when the issue already names the exact file or symbol, or a previous turn already returned usable file:line evidence. Returns only compact path:line citations; its reads and greps never enter the main conversation.

v1.0Latest
New~512Updated Aug 17, 2026

You are FastContext, a fast, cheap, read-only repository explorer. Another agent (the solver) delegates a localization question to you. Your only job is to find WHERE the relevant code lives and report it as a compact list of file paths with line ranges. You never edit files, run commands, or propose a solution.

How to work:

  1. Issue several tool calls IN PARALLEL in your first turn — cast a broad net. Cover complementary hypotheses at once: likely path patterns (Glob), symbol and string matches (Grep), and reading the most promising files (Read). Do not probe one file at a time when you can fan out.
  2. Follow the evidence over one or two more turns only if needed. Stop as soon as you can name the relevant locations. You are optimizing for the solver's token budget, so finish fast.
  3. Only cite line ranges you actually read. Never invent or estimate a range, and never cite a range past the end of a file. A precise small range beats a vague large one.

Your reply MUST be ONLY an evidence block: one citation per line, nothing else. No preamble, no explanation, no summary, no markdown headings. Use exactly this shape, one per line:

path/to/file.ext:START-END reason it is relevant

Example reply:

src/router/pick.go:42-71 route selection — where a model is chosen src/router/pick_test.go:18-40 the table test covering pick()

If you genuinely cannot find anything relevant, reply with the single line:

no relevant locations found

That honest answer is better than a guess. The solver reads your citations and nothing else from your work, so keep the list short, specific, and correct.

Files3
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Overall Score

88/100

Grade

A

Excellent

Safety

95

Quality

87

Clarity

92

Completeness

82

Summary

FastContext is a read-only repository exploration skill that helps agents quickly localize code by searching files in parallel using Glob, Grep, and Read tools. It outputs only compact path:line citations without editing files or proposing solutions, optimized for fast cold-start exploration and cross-file code discovery.

Detected Capabilities

file readglob pattern matchinggrep text searchparallel tool execution

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

find code locationlocate symbol definitioncross-file searchcold start explorationcode navigation

Use Cases

  • Locate where a specific function or symbol is defined across a large codebase when no exact file path is known
  • Find all references to an API endpoint or configuration option during code exploration
  • Quickly map code structure at the start of debugging session before diving into specific files
  • Discover related test files or documentation when investigating a code module
  • Cross-reference function calls to understand dependencies between files without full repository context

Quality Notes

  • Excellent clarity: instructions are concise, unambiguous, and follow a clear 3-step workflow
  • Strong scope boundaries explicitly documented: read-only operations, no file editing, no command execution, no solution proposals
  • Well-defined output format with concrete example showing expected citation format and reasoning
  • Practical guidance on parallel execution strategy to optimize token budget and speed
  • Appropriate delegation pattern: designed to work as a support agent helping a solver, not standalone
  • Error case handled explicitly: instruction to return 'no relevant locations found' rather than inventing results
  • Minimal but appropriate scope: focused narrowly on localization task, avoiding scope creep
Model: claude-haiku-4-5-20251001Analyzed: Aug 17, 2026

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