--- name: agenticnotetaking/learn source: https://app.decimal.ai/s/agenticnotetaking-learn@1/SKILL.md source_sha256: a30bf69ed1b4 --- ## EXECUTE NOW **Topic: $ARGUMENTS** Parse immediately: - If topic provided: research that topic - If topic empty: read `self/goals.md` for highest-priority unexplored direction and propose it - If topic includes `--deep`/`--light`/`--moderate`: force that depth, strip flag from topic - If no topic and no goals.md: ask "What would you like to research?" **Steps:** 1. **Read config** — tool preferences, depth, domain vocabulary 2. **Determine depth** — from flags, config default, or fallback to moderate 3. **Research** — tool cascade: primary → fallback → last resort 4. **File to inbox** — with full provenance metadata 5. **Chain to processing** — next step based on pipeline chaining mode 6. **Update goals.md** — append new research directions discovered **START NOW.** Reference below explains methodology. --- ## Step 1: Read Configuration ``` ops/config.yaml — research tools, depth, pipeline chaining ops/derivation-manifest.md — domain vocabulary (inbox folder, reduce skill name) ``` **From config.yaml** (defaults if missing): ```yaml research: primary: exa-deep-research # exa-deep-research | exa-web-search | web-search fallback: exa-web-search last_resort: web-search default_depth: moderate # light | moderate | deep pipeline: chaining: suggested # manual | suggested | automatic ``` **From derivation-manifest.md** (universal defaults if missing): - Inbox folder: `inbox/` (could be `journal/`, `encounters/`, etc.) - Reduce skill name: `/reduce` (could be `/surface`, `/break-down`, etc.) - Domain name and hub MOC name --- ## Step 2: Determine Depth Priority: explicit flag > config default > `moderate` | Depth | Tool | Sources | Duration | Use When | |-------|------|---------|----------|----------| | light | WebSearch | 2-3 | ~5s | Checking a specific fact | | moderate | mcp__exa__web_search_exa | 5-8 | ~10-30s | Exploring a subtopic | | deep | mcp__exa__deep_researcher_start | Comprehensive | 15s-3min | Major research direction | --- ## Step 3: Research — Tool Cascade Output header: ``` Researching: [topic] Depth: [depth] Using: [tool name] ``` Try tools in config priority order. If a tool fails (MCP unavailable, error, empty results), fall to next tier. If ALL tiers fail: ``` FAIL: Research failed — no research tools available Tried: 1. [primary] — [error] 2. [fallback] — [error] 3. WebSearch — [error] Try again later or manually add research to [inbox-folder]/ ``` ### Tool Invocation Patterns **exa-deep-research:** ``` mcp__exa__deep_researcher_start instructions: "Research comprehensively: [topic]. Focus on practical findings, key patterns, recent developments, and actionable insights." model: "exa-research-fast" (moderate) | "exa-research" (deep) ``` Poll with `mcp__exa__deep_researcher_check` until `completed`. Output during wait: ``` Research ID: [id] Waiting for results... ``` **exa-web-search:** ``` mcp__exa__web_search_exa query: "[topic]" numResults: 8 ``` **web-search (last resort, also used for light depth):** ``` WebSearch query: "[topic]" ``` On completion: `Research complete — [source count] sources analyzed` --- ## Step 4: File Results to Inbox **Filename:** `YYYY-MM-DD-[slugified-topic].md` — lowercase, spaces to hyphens, no special chars. **Write to** the domain inbox folder (from derivation-manifest, default `inbox/`). Create folder if missing. ### Provenance Frontmatter Every field serves the provenance chain. The `exa_prompt` field is most critical — it captures the intellectual context that shaped the research. ```yaml --- description: [1-2 sentence summary of key findings] source_type: exa-deep-research | exa-web-search | web-search exa_prompt: "[full query/instruction string sent to the research tool]" exa_research_id: "[deep researcher ID, omit for web search]" exa_model: "[exa-research-fast | exa-research, omit for web search]" exa_tool: "[mcp tool name, omit for deep researcher]" generated: [ISO 8601 timestamp — run: date -u +"%Y-%m-%dT%H:%M:%SZ"] domain: "[domain name from derivation-manifest]" topics: ["[[domain-hub-moc]]"] --- ``` Include only the fields relevant to the tool used: - Deep researcher: `source_type`, `exa_prompt`, `exa_research_id`, `exa_model`, `generated`, `domain`, `topics` - Exa web search: `source_type`, `exa_prompt`, `exa_tool`, `generated`, `domain`, `topics` - WebSearch: `source_type`, `exa_prompt`, `exa_tool`, `generated`, `domain`, `topics` ### Body Structure Format for downstream reduce extraction — findings as clear propositions, not raw dumps: ```markdown # [Topic Title] ## Key Findings [Synthesized findings organized by theme, not by source. Each finding should be a clear proposition the reduce phase can extract as an atomic insight.] ## Sources [List of sources with titles and URLs] ## Research Directions [New questions, unexplored angles, follow-up topics. These feed goals.md.] ``` --- ## Step 5: Chain to Processing Read chaining mode from config (default: `suggested`). ``` Research complete Filed to: [inbox-folder]/[filename] Next: /[reduce-skill-name] [inbox-folder]/[filename] ``` Append based on mode: - **manual:** (nothing extra) - **suggested:** `Ready for processing when you are.` - **automatic:** Replace "Next" line with `Queued for /[reduce-skill-name] -- processing will begin automatically.` --- ## Step 6: Update goals.md If `self/goals.md` exists AND the research uncovered meaningful new directions: 1. Read goals.md, match existing format 2. Append under the appropriate section: ``` - [New direction] (discovered via /learn: [original topic]) ``` Skip silently if goals.md missing or no meaningful directions found. Do not add filler. --- ## Output Summary Clean output wrapping the full flow: ``` ars contexta Researching: [topic] Depth: [depth] Using: [tool name] [Research ID: abc-123] Research complete -- [N] sources analyzed Filed to: [inbox-folder]/[filename] Next: /[reduce-skill-name] [inbox-folder]/[filename] [chaining context] [goals.md updated with N new research directions] ``` --- ## Error Handling | Error | Behavior | |-------|----------| | No topic, no goals.md | Ask: "What would you like to research?" | | Exa MCP unavailable | Fall through cascade to WebSearch | | All tools fail | Report failures with FAIL status, suggest manual inbox filing | | Deep researcher timeout (>5 min) | Report timeout, suggest `--moderate` | | Empty results | Report "No results found", suggest refining topic | | Config files missing | Use defaults silently | | Inbox folder missing | Create it before writing | --- ## Skill Selection Routing After /learn, the self-building loop continues: | Phase | Skill | Purpose | |-------|-------|---------| | Extract insights | /[reduce-name] | Mine research for atomic propositions | | Find connections | /[reflect-name] | Link new insights to existing graph | | Update old notes | /[reweave-name] | Backward pass on touched notes | | Quality check | /[verify-name] | Description quality, schema, links | /learn is the entry point. Each run feeds the graph, and the graph feeds the next direction through goals.md.