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collecting-evidencelisted

Use when researching a specific pillar and need to create traceable evidence objects. Guides creation of YAML evidence files with semantic IDs, confidence scores, and assumptions.
synaptiai/synapti-marketplace · ★ 5 · AI & Automation · score 65
Install: claude install-skill synaptiai/synapti-marketplace
# Evidence Collection This skill guides the creation of structured Evidence Objects for a single research pillar. ## Prerequisites - Ledger workspace initialized (`/ledger-init` completed) - Pillar assignment (which pillar to research) - Research scope from `01-pillars/PILLARS.md` ## Workflow Use TodoWrite to track these mandatory steps: <required> 1. Load pillar scope and research questions 2. Identify evidence sources 3. Collect raw evidence 4. Create Evidence Objects with semantic IDs 5. Validate evidence quality 6. Check evidence gate (minimum 5 per pillar) </required> ### Step 1: Load Pillar Scope Read `01-pillars/PILLARS.md` to understand: - Pillar priority level - Specific research questions for this pillar - Any scope restrictions See [references/research-protocols.md](references/research-protocols.md) for pillar-specific protocols. ### Step 2: Identify Evidence Sources For each research question, identify potential sources: | Source Type | Examples | Typical Confidence | |-------------|----------|-------------------| | `url` | Research reports, documentation | 60-90 | | `pdf` | Academic papers, whitepapers | 70-95 | | `interview` | User interviews, expert calls | 50-80 | | `internal-doc` | Company data, prior research | 60-85 | | `experiment` | A/B tests, prototypes | 70-95 | | `dataset` | Analytics, survey results | 65-90 | ### Step 3: Collect Raw Evidence For each source: 1. Extract the key claim(s) 2. Note supporting quotes/data 3. Assess confidence