context-optimizer
Skill0 starsChanged 50 days agoLicence not identifiedView on GitHub
Turns an enormous input into a small, task-specific, traceable context pack before an agent reads it. Use when the evidence itself is the problem: a multi-million-line log, an 800-table schema dump, a generated OpenAPI document, a huge JSON or YAML payload, a 40,000-line diff, a CI log where one compile error caused four hundred later failures, a migration history, a monorepo lock file, a large CSV export, a Terraform plan, or a documentation set nobody can read in one sitting. Inspection is deterministic and local first — no model sees the whole file — then selection is driven by the engineering question you are actually asking. Every fragment carries provenance, every omission is reported, and the budget is honoured exactly. Collaborates with issue-investigator and software-engineer on failure evidence, with code-reviewer on oversized diffs, and with test-automation-engineer on CI logs.
- Pipes a download into a shell
- Deletes or force-pushes
6 other projects use a version of this.
Adopted by
Most recently taken up by
- delorenj/skillstheir own version, first seen Nov 7, 2026
- tygwan/cc-initializer-windowstheir own version, first seen Oct 20, 2026
- Bexruz-cell/agent-skillstheir own version, first seen Oct 11, 2026
- rohitg00/pro-workflowtheir own version, first seen Sep 29, 2026
- NISTALTALSON/Ghosttheir own version, first seen Apr 5, 2026
- tygwan/cc-initializertheir own version, first seen Jan 24, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 6
- rohitg00/pro-workflow★ 2.9ksame name
- delorenj/skills★ 17same name
- NISTALTALSON/Ghost★ 3same name
- Bexruz-cell/agent-skills★ 1same name
- tygwan/cc-initializer★ 0same name
- tygwan/cc-initializer-windows★ 0same name
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 repository10 other files it gives its agents.
- .github/copilot-instructions.mdCopilot instructions
- delivery-plannerSkill
- delivery-runnerSkill
- domain-modelerSkill
- manual-testerSkill
- meeting-intelligenceSkill
- product-ownerSkill
- software-engineerSkill
- test-automation-engineerSkill
- wamalaSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
30 rules. 0 are common, 22 are distinctive, and 8 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
22
Distinctive
This author's own choices. Worth a look.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 6 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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
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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.

