extract-signal
SolidAn elastic signal-extraction methodology run under /multi-agent-mode. INFERS from the call what signal, what form, what stakes, and where output goes. Default is agentic — a normal call spawns a freshly-primed sub-agent that gathers, vets, and returns the signal; when extract-signal IS the agent (in-session / new-session) it works inline with output inline by default (or to a file if specified). Composes techniques per task: gather (/prime-sweep, /prime-fetch, /prime-expand), diverge (/insight-explore), vet (/insight-critique → /insight-assess), cold second opinion (/cold-review-style). Vetting scales with stakes; the presented signal carries provenance and is sensitivity-matched to its destination. Trigger on /extract-signal, "extract the signal on X and present it as Y", "gather + vet + report the signal about X". Not the prime-* / insight-* / cold-review skills it composes; not /multi-agent-mode (the mode it runs under).
Install
Quality Score: 78/100
Skill Content
Details
- Author
- allemaar
- Repository
- allemaar/open-skills
- Created
- 1 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- Apache-2.0
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
signal-detector
Always-on ambient signal capture. Fires on every inbound message to detect original thinking and entity mentions. Spawn as a cheap sub-agent in parallel, never block the main response.
intel-analyzer
Analyzes dropped links, articles, research papers, and raw text to determine whether the content is significant signal or noise. Produces a structured significance score across 6 dimensions (source credibility, verifiability, novelty, actionability, relevance, technical depth), delivers a verdict (HIGH SIGNAL / MODERATE SIGNAL / LOW SIGNAL / NOISE), and auto-ingests high-scoring content into the knowledge graph as Intel/ pages with cross-links. Use this skill whenever the user drops a URL, forwards an article, shares a PDF, or says "analyze this", "signal check", "is this legit", "worth reading?", "parse this", "signal or noise?", "check this link", or any variation of asking whether content is significant. Also trigger when the user pastes raw text from a social feed or chat and wants a quality assessment. This is the front door to the knowledge graph: only scored, verified content enters.
high-signal-communication
Compress or restructure an agent communication into a concise, decision-complete, high-signal artifact. Use when the user explicitly asks to shorten, de-duplicate, hand off, summarize progress, reduce context cost, or repair a verbose/slow-to-understand reply, report, commit, PR, ADR, spec, incident note, or agent record. Do not inject by default for every ordinary reply or document.