metrics-pull

Solid

Pull snapshots from all configured metric sources, compute deltas against prior snapshots, flag unexplained signals, and draft evidence entries for canvas files. One entry point for all external product/market metrics.

AI & Automation 41 stars 3 forks Updated today MIT

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Quality Score: 86/100

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Skill Content

# Metrics Pull Skill Unified pull across all metric sources configured in `.claude/jit-tooling/active-metrics.yml`. Dispatches to per-source adapters (starting with `github`), normalizes to a shared schema, computes deltas, and drafts canvas evidence entries. This skill is the L0/L1/L2/L5 evidence-gathering loop. Replaces manual "I checked the dashboard" reports with timestamped, sourced, diffable data. ## When to Use - Before `/mycelium:diamond-assess` at L0/L1/L2/L5, if the newest snapshot is >7 days old. - After any public activity (launch, post, conference mention) — typically 24-48h later to capture the bump. - Weekly baseline, regardless of activity. - Ad hoc when the user wants a fresh read. ## Precondition: .claude/jit-tooling/active-metrics.yml exists If `.claude/jit-tooling/active-metrics.yml` does NOT exist: 1. Tell the user: "No metric sources are configured. Running `/mycelium:metrics-detect` first." 2. Invoke `/mycelium:metrics-detect` (or follow `${CLAUDE_PLUGIN_ROOT}/jit-tooling/metrics-detector.md`). 3. After detection completes, return to this skill. ## Workflow ### Step 1: Load configuration Read `.claude/jit-tooling/active-metrics.yml`. Filter to sources with `status: active`. For each, verify the adapter file exists at `${CLAUDE_PLUGIN_ROOT}/jit-tooling/metrics-adapters/<source>.md`. If missing, follow `${CLAUDE_PLUGIN_ROOT}/jit-tooling/metrics-adapters/GENERATING.md` to generate it. If `confirmed_by_user: false`, ask the user to confirm the so...

Details

Author
haabe
Repository
haabe/mycelium
Created
3 months ago
Last Updated
today
Language
Python
License
MIT

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