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swarm-artifacts
swarm-artifacts 收录了来自 swarm-ai-research 的 12 个 skills,并提供仓库级职业覆盖和站内 skill 详情页。
这个仓库中的 skills
Find connections between claims and update topic maps. Requires semantic judgment to identify genuine evidence relationships. Use after /extract creates claims, when exploring connections, or when a topic map needs synthesis. Triggers on "/cross-link", "/cross-link [claim]", "find connections", "update topic maps", "connect these claims".
Extract structured claims from SWARM experiment runs, sweep results, and red-team reports. Comprehensive extraction is the default — every governance finding, adversarial pattern, and parameter sensitivity result gets extracted. Zero extraction from a domain-relevant run is a BUG. Triggers on "/extract", "/extract [file]", "extract findings", "mine this run", "process this experiment".
Explore and analyze the SWARM knowledge graph — detect orphan claims, find dense connection clusters, trace evidence chains, identify synthesis opportunities. Triggers on "/graph", "graph analysis", "find orphans", "what connects to X".
Research a topic relevant to SWARM AI safety and grow the vault with findings. Queries external sources, synthesizes into claim candidates, follows the extraction pipeline. Triggers on "/learn", "/learn [topic]", "research this", "find papers on".
Surface the next highest-priority action from the SWARM synthesis pipeline queue and maintenance conditions. Recommends what to work on based on queue state, pending observations, stale claims, and research threads. Triggers on "/next", "what should I work on", "next action", "what's pending".
Run the full SWARM synthesis pipeline on one or more experiment runs — seed, extract, cross-link, update, validate in sequence. Triggers on "/pipeline", "/pipeline [run-folder]", "full pipeline", "process everything".
Capture methodology friction, process corrections, and operational learnings for the SWARM vault. Rule Zero — methodology notes are the spec; when something goes wrong, write it down so the system learns. Triggers on "/remember", "capture friction", "log this correction", "the system did X wrong".
Challenge SWARM vault assumptions against accumulated observations and tensions. Triages friction signals, detects patterns, proposes methodology updates. The scientific method applied to the research OS itself. Triggers on "/rethink", "review observations", "challenge assumptions", "system drift".
Initialize a batch processing job for one or more SWARM experiment runs. Sets up the queue, calculates claim numbering, creates the extract task. The entry point for pipeline processing of new runs. Triggers on "/seed", "/seed [run-folder]", "start processing", "queue this run".
Show SWARM vault metrics — claim counts by confidence, experiment coverage, failure pattern status, sweep series, pipeline queue state. Triggers on "/stats", "vault stats", "how many claims", "what's in the vault".
Update prior claims with new evidence, boundary conditions, or weakening findings. The backward-pass phase — after new claims are created and connected, go back and update what existing claims now know. Triggers on "/update", "/update [claim]", "update prior claims", "backward pass", "strengthen this claim".
Validate provenance and schema for SWARM claims. Verifies run_id links, effect sizes, correction methods, confidence criteria, and _schema compliance. Triggers on "/validate", "/validate [claim]", "validate provenance", "check this claim".