knowledge-base
Skill73 starsChanged 3 months agoMITView on GitHub
Keep verified findings in memory/knowledge/ so the same research is never done twice. Use before researching any topic, when a finding passes the verify gate, or when about to answer from something learned in an earlier session.
32 other projects use a version of this.
Adopted by
Most recently taken up by
- shetengteng/skillix-hubtheir own version, first seen Nov 8, 2026
- ITch8/customs-data-skillstheir own version, first seen Nov 8, 2026
- theopenco/llmgatewaytheir own version, first seen Nov 6, 2026
- digitalgym/aipathway-standardstheir own version, first seen Nov 4, 2026
- shinpr/rashomontheir own version, first seen Nov 1, 2026
- jjmrocha/coding-skillstheir own version, first seen Oct 13, 2026
Used with
Projects with it also use playwright, code-reviewer and 4 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.
OpenAISkillplaywright
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GoogleSkillcode-reviewer
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engtySkillcodex
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
Also in 3 projects that use this
ElasticSkillcreate-skill
Interactively create a new Claude Code skill and add it to the elastic-docs-skills catalog. Use when the user wants to generate a new skill, scaffold a slash command, or build automation for docs tasks.
Also in 3 projects that use this
CloudflareSkillsecurity-audit
Security guidance and vulnerability review for codebases, APIs, services, CLI tools, libraries, and daemons. Use for security questions, focused reviews, vulnerability research, security audits, or pen tests. Run the complete workflow only for explicit codebase audit or pen-test requests, full/comprehensive/end-to-end reviews, or requested report artifacts.
Also in 3 projects that use this
Microsoft AzureSkillverify
End-to-end app testing pipeline for browser-based web apps on cloud browsers via Azure Playwright Workspaces: verify the live app, author tests for working flows, heal failing tests, then re-run with video and produce one consolidated report. Three phases (app verification, test authoring, test healing) plus a scoped final sanity run; each phase emits a sub-report. Use when asked to "verify my app", "make sure my app works and has good test coverage", "do a full QA pass", "add tests where I'm missing coverage", "fix failing tests and add new ones", "smoke test before deploy", "QA my deployment", or any combined verify-and-test ask. Requires Azure CLI (`az login`) and a Playwright Workspace resource ID — bootstraps configs on first invocation. Browser-based web apps with Playwright only — not for unit/API tests, native mobile/desktop, load/perf, or full accessibility audits.
Also in 3 projects that use this
Other versions32 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 32
- rommapp/romm★ 14ksame name
- wonderwhy-er/DesktopCommanderMCP★ 10ksame name
- Lilac-Labs/gini-agent★ 1.9ksame name
- Open-Curiosity/gini-agent★ 1.9ksame name
- theopenco/llmgateway★ 1.7ksame name
- icey1287/SuperMew★ 884same name
- Karanjot786/TermUI★ 238same name
- JKHeadley/instar★ 86same name
- zeroclaw-labs/zeroclaw-skills★ 65same name
- shinpr/rashomon★ 20same name
22 more not listed
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.
- brain-initSkill
- checkpointSkill
- decision-ledgerSkill
- doctorSkill
- goalSkill
- pinSkill
- proof-standardSkill
- recallSkill
- rehearsalSkill
- reportSkill
- researcherSkill
- scheduleSkill
- setupSkill
- skill-forgeSkill
- verify-gateSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.
0
Common
Most of the 24 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 20
Only claims that pass the verify gate enter memory/knowledge/.
- Distinctive: line 30
Every entry carries: the claim, named primary sources, sample size, stated limits, and a verification date.
- Very specific: line 38
When a draft is promoted (or rejected), annotate it in place: → recorded in memory/knowledge/db-pooling.md (2026-08-14) or → rejected: …
“Common” is measured: kept by at least 6 in 10 of the 24 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
Knowledge base
A session that researches well and forgets is a session that will research again. This skill adds the layer that makes learning cumulative: verified findings land in memory/knowledge/<topic>.md, and every new question checks there first.
Lookup before research — always
Before investigating any topic, read memory/knowledge/ for an entry that answers it. If a current entry exists, use it and cite it — re-researching a settled question wastes the work that settled it. If the entry is stale or only partially covers the question, research the gap, not the whole topic.
Drafts stay drafts
Findings made mid-task (a benchmark result, a library's actual behavior, an API's undocumented limit) are drafts. Label each with the verify-gate labels — confirmed / observed / assumed / hearsay / unknown — wherever the draft lives: session log, working notes, a comment in the task file. Drafts may inform the current task but must not be quoted later as established knowledge.
Promotion — the gate is the door
Only claims that pass the verify gate enter memory/knowledge/. One file per topic, entries shaped like:
## Connection pool exhausts under burst load — verified 2026-08-14
- Claim: the default pool (10) exhausts at ~40 concurrent requests; queue wait exceeds 2s.
- Sources: load test output (tests/load/pool.txt), library docs on pool sizing (both opened).
- Sample: 3 runs, same config. Limits: measured on the staging tier only; production tier untested.Every entry carries: the claim, named primary sources, sample size, stated limits, and a verification date. An entry missing any of these is still a draft, whatever file it sits in.
The first time you create memory/knowledge/, add a row for it to the File map in memory/00-INDEX.md before writing the first entry — a folder missing from the map is a folder the next session never opens.
Check what the finding contradicts before filing it. Read the existing entries this finding touches. If it contradicts one, do not shelve the two beside each other: surface the conflict first, then either supersede the old entry — with a link back to it from the new one — or hold the new entry and register the question in OPEN-QUESTIONS.md. If the two rest on different layers of evidence (different scope, subject, or measurement), placing them side by side is as far as it goes; they do not get merged into one claim.
Close the loop on processed drafts
When a draft is promoted (or rejected), annotate it in place: → recorded in memory/knowledge/db-pooling.md (2026-08-14) or → rejected: failed refutation. Without the back-note, the same finding resurfaces as a candidate in the next session and gets re-verified from scratch — the exact duplication this skill exists to end.
Compression tools stay out
A knowledge entry is its source, its sample, and its label; a compression pass aimed at token savings removes exactly those first. Do not run memory-file compressors (caveman-compress and the like) over memory/knowledge/. Shorten by hand if you must, with the original kept and a part-by-part comparison before accepting.
Freshness
Verified knowledge expires. Before relying on an entry older than 90 days, re-verify it and update the date; if it no longer holds, supersede the entry with what is now true rather than deleting the history. The date on an entry is a promise about when it was true, not forever.
The correction runs downstream too: when an entry changes, update the skills that cite it in the same pass. A forged procedure resting on the old entry keeps the old entry in service, corrected copy or not.
Scope
This is a convention skill — plain markdown files, no tooling required. If the project already runs a wiki or knowledge-management plugin, the two coexist: memory/knowledge/ remains the lookup-first layer, and the wiki can serve as the deeper archive behind it.
Part of ballast — foundations first, every solved path kept, done means checks pass.
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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.

