Explore skills

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.

Draft an upstream-repo GitHub issue on disk. Creates the next ISS file under issues/{repo}/ with paste-ready frontmatter + body skeleton. The actual filing into GitHub is a deliberate human action — this skill never opens a real issue.

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

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

Trigger on "search my memory", "look up in my memory", "recall from my notes", "second brain", "thinking partner", "what should I learn today", "connect my ideas", "show my knowledge gaps", "build a knowledge graph", "what's in my brain", or any question prefixed with "based on my past data" / "from my knowledge graph". Use for open-ended search, synthesis, and exploration over the user's Timeln m

Run the graph-retriever subagent — intelligent, iterative retrieval over the derived graph query layer. The maintainer asks a free-form information-need question ("where is X", "what depends on Y", "which findings concern Z"); the agent constructs a strong query, runs a bounded retrieve→read→judge→refine loop (≤10 iterations) with adaptive traversal, and returns a cited answer set. Emits substrate

Query the Raider.IO API for Mythic+ scores, run history, dungeon rankings, character profiles, and guild data. Use this skill when the user asks about M+ scores, key levels, dungeon runs, push targets, Raider.IO profiles, M+ rankings, weekly keys, or asks "what keys do I need". Also use when the user mentions raider.io, rio score, or asks about M+ meta/comps based on leaderboard data.

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

Look up what top-ranked players are actually running from Murlok.io — talents, gear, enchants, gems, embellishments, and stat priorities by spec. Use when the user asks "what are top players running", "what do the best players use", "murlok", "top player builds", or wants to see real equipped gear from top-performing players rather than aggregated parse data. Covers M+ and PvP content (no raid dat

Work a batch of backlog items end-to-end as a maintainer — hold the Implementation Quality Bar, run the Pre-authoring stance check, log follow-ups on disk, flip items to `review-ready`, and ship one PR per repo per batch.