ce-optimize
Optimize a named target with a measured loop: attribute a workload's cost, or score variants and keep winners.
Skill by aigeekhub
Chalk Labs
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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/aigeekhub-ce-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
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Node.js package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ce-optimize
What's inside
- Skill name
ce-optimize- Description
- Optimize a named target with a measured loop: attribute a workload's cost, or score variants and keep winners. Use when a working system's metric should move and the winning change is not already known. Use ce-debug when the job is diagnosis; use ce-work when the change is already known.
- License
- NOASSERTION
- Instructions
- 58 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (20)
- SKILL.md
- learnings-researcher.md · references/agents/
- repo-research-analyst.md · references/agents/
- example-expensive-benchmark-spec.yaml · references/
- example-hard-spec.yaml · references/
- example-judge-spec.yaml · references/
- experiment-log-schema.yaml · references/
- experiment-prompt-template.md · references/
- judge-prompt-template.md · references/
- loop.md · references/
- measurement.md · references/
- optimize-spec-schema.yaml · references/
- persistence.md · references/
- spec.md · references/
- usage-guide.md · references/
- wrap-up.md · references/
- decide.mjs · scripts/
- experiment-worktree.sh · scripts/
- measure.sh · scripts/
- parallel-probe.sh · scripts/
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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Review a named diff or PR for bugs, regressions, tests, and standards.
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Refresh the repo's captured learnings against the current codebase.
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Applies this repository's skill-authoring standard as a procedure.
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Babysits an open GitHub PR until merge-ready.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 17, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- NOASSERTION
- Repository
- github.com/aigeekhub/aigeekskills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from aigeekhub
- 0.587score
ce-compound
aigeekhub
Document a solved problem as a durable repo learning.
SkillAFreshness: A★ 1Claude Code +9 - 0.587score
ce-plan
aigeekhub
Create structured plans for multi-step work, including software and non-software tasks.
SkillAFreshness: A★ 1Claude Code +9 - 0.587score
ce-commit-push-pr
aigeekhub
Commit, push, and open a PR.
SkillAFreshness: A★ 1Claude Code +9 - 0.587score
ce-code-review
aigeekhub
Review a named diff or PR for bugs, regressions, tests, and standards.
SkillAFreshness: A★ 1Claude Code +9 - 0.547score
ce-bakeoff
aigeekhub
Develop independent competing solutions to a defined brief, compare them, and synthesize a winning approach.
SkillBFreshness: B★ 1Claude Code +9 - 0.547score
ce-skill-work
aigeekhub
Applies this repository's skill-authoring standard as a procedure.
SkillBFreshness: B★ 1Claude Code +9
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Cite this page
ce-optimize skill. Agent Mart. https://agentmart.dev/skills/aigeekhub-ce-optimize (last updated 2026-10-24)