Explore skills

A persistent memory layer for Council Room that reads, writes, and searches agent memory across sessions. It's used for saving important decisions, recalling past sessions, updating notes, searching for context, and injecting memory into agent prompts to ensure agents retain crucial information.

Run one or more dynamic-verification probes against a local ephemeral docker-compose mirror of the target system. Captures observation traces as committed artefacts at `lineage/{repo}/probe-runs/{date}-{probe_id}.yaml` and merges measured values back into `feature-flows.yaml`, `test-map.yaml`, and per-sidecar `confidence_per_field` annotations. Local-only execution per APPROACH.md section 5 rule 1

Generates an HTML viewer for browsing past Claude Code conversation history. It extracts data from JSONL session files to build a searchable and filterable UI. Invoke with /history.

Generate probe-skeleton YAML files at `lineage/{repo}/probes/{P-NNN}.yaml` from `feature-flows.yaml`'s uncovered test-matrix cells. Each skeleton carries the feature_id + test_class + cross-references + a TODO-marked arrange/act/observe/assert block the maintainer fills in. Accelerates probe corpus growth — slice 4 of dynamic-verification ADR. Local-only per APPROACH.md section 5 rule 12.

Run the methodology meta-review — a single methodology-reviewer agent that traces the whole current methodology (APPROACH.md, the ADRs, the agent contracts, the skills, the playbooks, the case-law, the live artefacts), diffs against the prior review, runs fresh blind spot-checks against real source, and emits real gaps + improvement proposals at lineage/{repo}/meta-reviews/{date}/review.md. `/pane

Analyze MongoDB collection schemas, infer data types, detect inconsistencies, and recommend schema design improvements. Use when the user asks about database structure, data modeling, schema validation, or wants to understand their MongoDB collections.

Quick orientation for a new session — shows system overview, current state, and available actions.

Autonomous batch driver for the rev-2 agentic-ontology sprint. Picks the next pending theme from state/sprint-themes.yaml, spawns 5 file-analyser subagents in parallel, then 5 reducers in parallel, merges deltas, refreshes coverage, appends the investigator-log entry, commits, pushes to remote, marks the theme done. Designed to be fired by `/loop` overnight without maintainer input.

Design a customer feedback survey that generates reliable, actionable data. Use this skill when a team needs to collect structured feedback at scale without the bias and noise that comes from poorly designed surveys.

Exports approved outreach emails into the user's preferred format: sequencer CSV, plain text, or formatted for specific tools. Triggers: /push, "export emails", "push to instantly", "push to outreach". Reads: ./gtm/prospects.md, ./gtm/icp.md (for stack info). Writes: output files in ./gtm/export/. Standalone: yes.

Find where a feature, component, or concept lives in the ODD codebase. Uses the navigation index for O(1) lookups.

Generate or refresh coverage manifest for a scanner — lists ALL items in scope so scans can track progress across sessions.