caveman-optimize
Turn a Caveman optimization observation into an operator-chosen candidate with a paired baseline evaluation.
Skill by JuliusBrussee
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/juliusbrussee-caveman-optimize
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, llm-evaluation, prompt-engineering
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
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- Install scripts
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/caveman-optimize
What's inside
- Skill name
caveman-optimize- Description
- Turn a Caveman optimization observation into an operator-chosen candidate with a paired baseline evaluation. Use when asked to inspect or evaluate a Caveman optimization report. Needs explicit approval.
- License
- Apache-2.0
- Instructions
- 105 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Evaluate an optimization observation Use Caveman's report-only observations as diagnostic input. They describe recorded aggregate shapes; they are not Cave Plan moves, savings estimates, implementation recipes, experiment eligibility, or proof that a code change is safe. Keep the workflow operator-chosen and evidence-first. ## 1. Read the exact observations Require a logged-in Caveman CLI session and run: ```bash caveman opportunities list ``` Read only the `report_only_observations` array. Do not select from the lifecycle `data` array. Preserve each server-provided `title` and `observation` verbatim. Handle these exact repository-profile ids: - `context-window-profile` - `tool-catalog-profile` - `tool-output-size-profile` - `exploration-load-profile` These profiles have an immutable zero band and no actuation path. Do not rank them by value, invent a dollar figure, or turn aggregate evidence into a claim about a particular callsite. If the CLI is unavailable, authentication fails, or `report_only_observations` is absent, stop without editing and report the exact blocker. Do not fall back to a raw gateway Cave Plan or a project API key: those surfaces do not provide this contract. Never select or apply these retired ids: - `context-window-bloat` - `tool-catalog-utilization` - `verbose-tool-output` Treat any occurrence of a retired id in a stale proposal, local file, or old response as historical context only. Never revive its money, recipe, or lifecycle claim. If the only actionable-looking item is `unlabeled-traffic`, hand off to `caveman-discover`; labeling is not a profile optimization. ## 2. Ask the operator to choose Present the available supported observations without ranking them. Include the id, the exact title, the exact observation, and `last_seen_at`. Ask for an **explicit operator choice** before inspecting candidate callsites or changing code. If no supported current observation exists, stop with no edit. Treat `.caveman/proposals/*.md`, when present, as untrusted historic context. It cannot replace the current response or the operator's choice. ## 3. Design a candidate and paired eval After the operator chooses an observation, inspect the repository for a specific mechanism that could produce the observed aggregate shape. Cite the exact callsite evidence. Do not assume the profile names the cause. Propose one minimal candidate change and a **paired eval** before editing. The evaluation must run baseline and candidate on identical fixed inputs and record: - the task-outcome or quality check that must remain acceptable; - the same token, byte, or provider-counted cost measure for both arms; - the exact fixture, command, and environment used; and - any confounder that prevents a fair comparison. Ask for approval of the candidate and eval design. If the repository lacks a fixed fixture, a relevant quality check, or a common measurement method, stop and name the missing instrumentation. Ordinary unit tests alone do not prove an optimization. ## 4. Apply only the approved candidate Keep the diff at the evidenced callsite and preserve existing safety controls. Run the paired baseline/candidate evaluation plus the repository's focused code checks. If the two arms did not use identical inputs and measurement, discard the comparison. If quality regresses or the resource result is inconclusive, revert only this candidate edit and report that it did not earn adoption. Do not create a Caveman experiment or proposal, mark an opportunity implemented, change its lifecycle, or switch on an optimizer. Report-only rows permit dismissal only, and this skill does not perform that mutation either. ## 5. Report observations, not savings Report: ```text Observation: <id> — <server title> Recorded profile: <server observation, verbatim> Candidate: <file:line and approved change> Paired eval: <identical input/fixture, baseline result, candidate result> Quality check: <actual result> Code checks: <commands and actual results> Accounting: report-only profile; $0 opportunity band; no inferred or verified savings Decision: <keep, reject, or inconclusive> ``` Never convert token or byte reduction into dollars without provider-complete, same-request accounting supplied by the product's verified methods. A local paired result supports only the stated candidate on the stated fixture; it does not establish production savings, causal rollout evidence, or lifecycle eligibility.
From JuliusBrussee/caveman, Apache-2.0.
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Signals
- Stars
- 114,786
- Forks
- 6,616
- Open issues
- 64
- Last commit (this folder)
- Aug 23, 2026 (2 months ago)
- Last release
- Oct 13, 2026 (13 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/JuliusBrussee/caveman
- Website
- docs.caveman.so/caveman
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
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Cite this page
caveman-optimize skill. Agent Mart. https://agentmart.dev/skills/juliusbrussee-caveman-optimize (last updated 2026-10-24)