AI Knowledge Repository — AI skill for Claude Code
Validated knowledge graph of hard platform constraints and decision-enabling capabilities for Claude Code, Lovable, Git, reMarkable, n8n, Python and Atlassian, with a contract validator.
How to install AI Knowledge Repository
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open jtims/ai-knowledge-repository and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What AI Knowledge Repository does
Validated knowledge graph of hard platform constraints and decision-enabling capabilities for Claude Code, Lovable, Git, reMarkable, n8n, Python and Atlassian, with a contract validator.
Alternatives in AI
README
AI Knowledge Repository
Two platform knowledge ledgers for AI-assisted engineering, built as a validated knowledge graph: a **Constraints Ledger** of hard, design-invalidating platform facts, and a **Capabilities Ledger** of decision-enabling affordances. Every node is atomic, typed, provenance-backed and validated by a contract linter before it counts.
At this snapshot: 84 nodes across 10 platform entries in 2 ledgers, validator PASS with 0 errors. Constraints: 70 nodes over Claude Code, Lovable, reMarkable, Git, n8n, Python and Atlassian, 69 active and 1 superseded. Capabilities: 14 nodes over Claude Code, reMarkable and Lovable.
Why it exists
A platform fact that sits in memory is not a fact that gets applied. The founding defect was a design shipped on a backend path that a known platform limitation made impossible; the limitation had been recorded weeks earlier and was still missed at design time. The fix was structural: hard constraints became atomic notes with an admission bar and provenance, a hook injects the relevant platform's nodes into context when a prompt names that platform, and no ledger change counts as done until the validator passes.
How a node is shaped
Frontmatter carries the identity and the evidence: a monotonic per-platform id, platform, domain, severity or leverage, status, one or more provenance entries with type, ref and date, a verified date, and typed edges to related nodes. The body of a constraint carries three required sections: the constraint itself, its design consequence, and the sanctioned workarounds. A capability carries the inverse shape: what it unlocks, and its caveats and linked constraints. Nodes are never deleted; a wrong node is superseded and linked.
Platform Constraints Ledger/
_SCHEMA-Constraints.md the contract and id registry
_MOC-Platform-Constraints.md the global hub, with a dated changelog
/_-Constraints-MOC.md
/constraints/_.md
_too
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