Installable skillMIT

Dossier Collect

Build a graph-structured dossier on a seed entity via parallel fan-out + recursive expansion across web, memory, knowledge-graph, codebase, ADR index, and git intel

BY wodehUPDATED Oct 28, 2026
INTENDED FOR◈OpenClawInstall in a listed agent.

instructions.md

---
name: dossier-collect-380b0300fb3f
description: Build a graph-structured dossier on a seed entity via parallel fan-out + recursive expansion across web, memory, knowledge-graph, codebase, ADR index, and git intel
argument-hint: "<seed> [--max-depth N] [--max-breadth N] [--sources s1,s2] [--budget-usd N] [--exact]"
allowed-tools: mcp__claude-flow__memory_store mcp__claude-flow__memory_search mcp__claude-flow__memory_search_unified mcp__claude-flow__agentdb_pattern-search mcp__claude-flow__agentdb_pattern-store mcp__claude-flow__agentdb_hierarchical-recall mcp__claude-flow__embeddings_search mcp__claude-flow__hooks_intelligence_pattern-search mcp__claude-flow__hooks_intelligence_pattern-store mcp__claude-flow__hooks_intelligence_trajectory-start mcp__claude-flow__hooks_intelligence_trajectory-step mcp__claude-flow__hooks_intelligence_trajectory-end mcp__claude-flow__task_create Bash WebSearch WebFetch Read Write Grep Glob
---

# Dossier Collect

Recursive parallel investigation that builds a graph-structured dossier on a seed entity.

## When to use

You have a seed (a username, file, symbol, ADR-id, URL, or concept) and want to **expand outward** discovering every connected entity, with provenance per claim — rather than answering a specific question.

For specific questions use `deep-research`. For multi-step plans use `goal-plan`.

## Steps

1. **Detect seed type** — classify as one of: `username` (handle), `file` (path), `symbol` (code identifier), `adr` (ADR-NNN), `url`, or `concept` (free text).
2. **Pick sources** — match the source matrix to the seed type. Default: all applicable.
3. **Start trajectory** — call `mcp__claude-flow__hooks_intelligence_trajectory-start` with task `dossier:<slug>`.
4. **Round 0 fan-out** — issue ALL source queries in ONE message. Examples:
   - For `username`: `WebSearch`, `WebFetch` on github.com/<user>, `mcp__claude-flow__memory_search_unified`
   - For `adr`: `Read` ADR file, `Grep` references, `mcp__claude-flow__memory_search` namespace `adr`
   - For `symbol`: `Grep`, `Glob`, `mcp__claude-flow__embeddings_search`
5. **Extract entities** — from each hit, surface entities (people, repos, files, adrs, urls, terms). Lightweight regex + heuristics; no LLM extraction unless ambiguous.
6. **De-dup** — drop entities already in the dossier. If `--exact` is unset, also drop entities whose embedding cosine similarity ≥ 0.92 to an existing node.
7. **Round k recursion** — for each new entity (capped at `--max-breadth` per source), recurse to step 4 until depth ≥ `--max-depth` OR budget exhausted.
8. **Aggregate** — build `{ nodes, edges }` graph. Each node carries `{ id, type, attrs, sources: [...] }`. Each edge carries `{ from, to, kind, source, confidence }`.
9. **Render artifacts**:
   - `<slug>.md` — executive summary, entity table, mermaid graph, source-provenance footnotes
   - `<slug>.json` — machine-readable graph
   - Default location: `v3/docs/examples/dossiers/<slug>/`
10. **Persist** — `mcp__claude-flow__memory_store` namespace `dossier` key `<slug>`.
11. **End trajectory** — `mcp__claude-flow__hooks_intelligence_trajectory-end` with success status.

## Output schema (JSON)

```json
{
  "seed": "ruvnet",
  "seedType": "username",
  "depth": 2,
  "truncated": false,
  "generatedAt": "ISO-8601",
  "nodes": [
    { "id": "ruvnet", "type": "username", "attrs": { "...": "..." }, "sources": ["WebSearch", "github.com"] }
  ],
  "edges": [
    { "from": "ruvnet", "to": "ruflo", "kind": "owns", "source": "github.com", "confidence": "high" }
  ],
  "stats": { "nodesByType": {}, "sourcesUsed": [], "tokensSpent": 0 }
}
```

## Budget discipline

- If `--budget-usd` is set, track approximate cost via trajectory. On exhaustion: emit partial dossier with `truncated: true` and the entities still queued.
- BFS expansion only — finish round *k* before round *k+1*.
- Never silently truncate. Always mark and record what was skipped.

## Examples

```
/ruflo-goals:dossier-collect ruvnet
/ruflo-goals:dossier-collect ADR-097 --max-depth 1
/ruflo-goals:dossier-collect "src/memory/hnsw.ts" --sources codebase,git,memory
/ruflo-goals:dossier-collect "ruflo-goals" --max-breadth 5 --budget-usd 1
```
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.