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theDRElabstheDRElabs/opencode-config/skills/graph-memory/SKILL.md

graph-memory

Skill1 starsChanged 3 months agoMITView on GitHub

Maintain and query the persistent knowledge graph at /workspaces/graph-memory/ (Extract -> Resolve -> Assemble -> Query, with provenance, temporal validity, confidence, and contradiction detection). Use when a durable fact emerges (constraint, lesson, decision, relationship between tools/repos/orgs), when recording session learnings for future sessions, or when answering questions that need multi-hop connections across projects ("what does X depend on", "what did we decide about Y"). Also use before starting work related to previously recorded topics.

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The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    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
  1. Distinctive:

    When a durable fact emerges, either:

    line 24
  2. Very specific:

    call graph_add_episode with a well-formed episode (preferred), or

    line 25
  3. Very specific:

    Before assembling, reconcile names against resolve.json clusters:

    line 36

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Graph Memory

Store: /workspaces/graph-memory/ — JSONL triple store with provenance and temporal validity. Schema/contracts: README.md there. MCP tools: graph_query, graph_search, graph_add_episode, graph_invalidate, graph_stats (wired via ~/.config/opencode/opencode.jsonc).

Operating loop

1. Capture (LLM stage — you)

When a durable fact emerges, either:

  • call graph_add_episode with a well-formed episode (preferred), or
  • draft it via node scripts/capture.mjs <file> and ask the user to approve the candidate (moves from episodes/candidates/ into episodes/).

Episode rules:

  • Entities central to the content only; one-line grounded description each.
  • Relations connect two declared entities; predicates are short verb phrases.
  • source + date mandatory — no receipt, no entry. schema_version: "1".
  • Unverified/hearsay stays out until verified.

2. Resolve (LLM stage — you)

Before assembling, reconcile names against resolve.json clusters:

  • Same real-world thing, different surface form -> add alias to the existing cluster. Use stored descriptions for disambiguation context.
  • Genuinely distinct -> do nothing.
  • Watch errors.log after assemble for DANGLING-REF and OVER-MERGE-RISK.

3. Assemble (deterministic)

node /workspaces/graph-memory/scripts/graph-assemble.mjs

Rebuilds nodes/edges from scratch every run (no stale merges). Read the summary line — it reports episodes, nodes, edges, self-loops dropped, dangling refs, invalidations, contradictions, superseded-by issues. A nonzero exit or new entries in errors.log means fix before trusting output.

Safety rails in place: malformed episodes are rejected (never crash), output writes are atomic, a lockfile prevents concurrent assembles, errors.log is rewritten per run, and contradictions between currently-active facts are flagged. Every node/edge gets a confidence score (0.5 base, +0.2 for 2+ supporting episodes, +0.2 for explicit valid_at).

4. Invalidate contradicted facts (manual overlay)

Contradiction -> graph_invalidate tool, or append to invalidations.json keyed "subject|predicate|object" with invalid_at and optional superseded_by, then rerun assemble. Never delete edges. SUPERSEDED-BY-MISSING and SUPERSEDED-BY-CYCLE are validated.

5. Query / search

node /workspaces/graph-memory/scripts/graph-query.mjs "<seed or alias>" --hops=2 [--all] [--as-of=YYYY-MM-DD]
node /workspaces/graph-memory/scripts/graph-search.mjs "<text>" --top=10

Or via MCP: graph_query / graph_search. --as-of filters to facts true on that date; --all includes invalidated/future facts (marked [inactive]).

6. Health checks

  • graph_stats for counts + errors.log status
  • errors.log for anything logged this run
  • Approval digest: pending candidates in episodes/candidates/ are printed after every assemble and emailed when GRAPH_RESEND_API_KEY + GRAPH_EMAIL_TO are set.

Quality habits (the compounding part)

  • Log every resolution mistake/false merge you catch to errors.log with what fixed it — this log outvalues any single project.
  • Occasionally red-team the store: plant a bad triple, confirm a guard catches it, log the result.
  • Candidates awaiting approval are drafts — nothing in episodes/candidates/ is live until the user approves it.

When NOT to use

  • Ephemeral session details (scratch values, file paths being refactored right now). If it won't matter next week, it doesn't belong in episodes.
  • Anything already captured verbatim by a repo's own docs — link it via an episode instead of duplicating content.

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