caveman-explore
Skill3 starsChanged 3 months agoMITView on GitHub
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.
15 other projects use a version of this, 11 of them edited.
Adopted by
Most recently taken up by
- sudeepgupta90/my-ai-marketplaceedited, first seen Nov 8, 2026
- mjlueck-hash/cavemanword for word, first seen Nov 8, 2026
- dhruvsaxena1998/skillsedited, first seen Nov 8, 2026
- MMACABRE/SKILLSedited, first seen Nov 8, 2026
- VorElze/hermes-office-skillsedited, first seen Nov 1, 2026
- jjsizemore/jjskillsword for word, first seen Nov 1, 2026
Used with
Projects with it also use ponytail-debt, ponytail-gain and 10 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.
GoogleSkillponytail-debt
Harvest every `ponytail:` comment in the codebase into a debt ledger, so the deliberate shortcuts and deferrals ponytail leaves behind get tracked instead of rotting into "later means never". Use when the user says "ponytail debt", "/ponytail-debt", "what did ponytail defer", "list the shortcuts", "ponytail ledger", or "what did we mark to do later". One-shot report, changes nothing.
Also in 4 projects that use this
GoogleSkillponytail-gain
Show ponytail's measured impact as a compact scoreboard: less code, less cost, more speed, from the benchmark medians. One-shot display, not a persistent mode, and not a per-repo number. Trigger: /ponytail-gain, "ponytail gain", "what does ponytail save", "show ponytail impact", "ponytail scoreboard".
Also in 3 projects that use this
AWSSkillwait-what
Stop. That last message did not land: re-pitch it.
Also in 4 projects that use this
CloudflareSkillreceiving-code-review
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Also in 4 projects that use this
AWSSkillwizard
Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.
Also in 3 projects that use this
- +7 more from google
Other versions15 projects use a version of this.
Word for word · 4
- xingtu1996/dsh-xingtu-skills★ 2100% same
- jjsizemore/jjskills★ 1100% same
- mjlueck-hash/caveman★ 1100% same
- xingtu1996/xingtu-skills★ 0100% same
Edited · 11
- JuliusBrussee/caveman★ 118k89% same
- ZerroDevs/AgentsHub★ 689% same
- nomdedev/agent-manager-template★ 289% same
- dhruvsaxena1998/skills★ 189% same
- MMACABRE/SKILLS★ 189% same
- Tenraining/Claude-Skills★ 189% same
- YogirajA/Claude-Skills★ 186% same
- Gopyr/gopyr-skills-hub★ 011% same
- pengawasmknan/claude-skills★ 089% same
- sudeepgupta90/my-ai-marketplace★ 089% same
1 more not listed
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository15 other files it gives its agents.
- caveman-learn/CLAUDE.mdCLAUDE.md
- cavecrewSkill
- caveman-commitSkill
- caveman-compressSkill
- caveman-discoverSkill
- caveman-evidence-reviewSkill
- caveman-helpSkill
- caveman-learnSkill
- caveman-manageSkill
- caveman-optimizeSkill
- caveman-reviewSkill
- caveman-setupSkill
- cavemanSkill
- caveman-statsSkill
- fullstack-devSkill
The file
We split this skill into the rules it gives an agent
4 rules. 4 are common, 0 are distinctive, and 0 are very specific to this project.
4
Common
Most of the 10 edited versions we read keep these.
0
Distinctive
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
- Common: line 19
Follow the evidence over one or two more turns only if needed.
- Common: line 22
Only cite line ranges you actually read.
- Common: line 27
No preamble, no explanation, no summary, no markdown headings.
- Common: line 37
If you genuinely cannot find anything relevant, reply with the single line:
“Common” is measured: kept by at least 6 in 10 of the 10 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.
Files
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:
- 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.
- 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.
- 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.
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
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.

