context-graph
Skill0 starsChanged 6 months agoNo licenceView on GitHub
Decision-trace memory for an agent harness: record what was chosen and why (trace), capture the human's outcome verdict (upvote/correct), auto-draft a rule candidate from each correction delta, and retrieve proven schemas/patterns/rules L4-first (project -> org -> industry -> universal) before the next decision. SQLite-backed, no LLM needed for tracing. Use when wiring cross-run decision memory into a pipeline (dark-factory nodes, feature chains), reviewing whether a correction became a permanent rule, or choosing between decision-memory substrates (meta-context-graph SQLite vs Neo4j MKG vs memory-index evidence store). Cross-reference: agent-long-term-memory owns the gate this stratum must pass (R2/R12/R14); memory-index owns evidence recall; agentic_kg_memory owns the semantic KG.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- ryanmaclean/skillstheir own version, first seen Nov 1, 2026
- WellApp-ai/skillstheir own version, first seen Sep 10, 2026
- jessicahiggs/context-graphtheir own version, first seen Aug 18, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- WellApp-ai/skills★ 8same name
- jessicahiggs/context-graph★ 1same name
- ryanmaclean/skills★ 1same 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 repository219 other files it gives its agents.
- agents/AGENTS.mdAGENTS.md
- AGENTS.mdAGENTS.md
- codex-agents/AGENTS.mdAGENTS.md
- memory-bank/AGENTS.mdAGENTS.md
- copilot-instructions.mdCopilot instructions
- .github/copilot-instructions.mdCopilot instructions
- active-inferenceSkill
- adapter-merging-strategiesSkill
- adjacent-surface-scanSkill
- agent-governanceSkill
- agentic-design-patternsSkill
- agentic-harnessSkill
- agentic-hyperparm-macdSkill
- agentic-hyperparmSkill
- agentic_kg_memorySkill
- agentic-orchestrationSkill
- agent-identitySkill
- agent-long-term-memorySkill
- ai-promptingSkill
- architectureSkill
- arxiv-bridgeSkill
- auto-ingestSkill
- auto-researchSkill
- autoresearchSkill
- axiom-ladder-searchSkill
- bitter-lessonSkill
- bm25-autoencoderSkill
- bm25-corpus-samplingSkill
- book-concept-distillationSkill
- bpe-bm25Skill
- build-observabilitySkill
- business-writingSkill
- causal-inferenceSkill
- cavemanSkill
- checklistSkill
- chrome-extensionsSkill
- class-balancingSkill
- claudeSkill
- cluster-quantized-knnSkill
- codebase-designSkill
- codebase-knowledge-graphSkill
- code-extractionSkill
- code-localizationSkill
- codemapSkill
- code-review-and-qualitySkill
- codeSkill
- cognitive-taxonomySkill
- comfyui-api-renderSkill
- concept-segmentationSkill
- consolidationSkill
- context-compactionSkill
- context-engineeringSkill
- continual-learningSkill
- continuity-logSkill
- copula-manifold-samplerSkill
- create-steering-documentsSkill
- cross-hatch-samplingSkill
- crystallizationSkill
- ctp2-image-patchingSkill
- cua-desktop-agentSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 0 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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.
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.