ai-spec
claude[channels/channel] Render surviving findings into an AI-ready, agent-executable architecture spec (genre-shaping of the artifact -> markdown pipeline; finding_refs -> evidence, goal checks -> EARS, sections -> structure)
1 skill
[channels/channel] Convert a research topic's surviving findings into actionable GitHub issues, grounded in the SOURCES (findings + primary citations) — atomize each finding's implications into sprint-sized, well-structured issues with acceptance criteria and evidence-justified priority; never from a rendered report
Plugin github-issues from marketplace research-harness in modeled-information-format/research-harness-template. Commands read from the repo's manifest — 1 month ago.
github-issuesConvert a research topic's surviving findings into actionable GitHub issues — atomize each finding's implications into sprint-sized, well-structured issues with acceptance criteria and evidence-justified priority. Grounded in the SOURCES (the findings corpus and their primary-source citations) — NEV
[channels/channel] Render surviving findings into an AI-ready, agent-executable architecture spec (genre-shaping of the artifact -> markdown pipeline; finding_refs -> evidence, goal checks -> EARS, sections -> structure)
1 skill
[channels/channel] Author a long-form, multi-chapter book from a research session's surviving findings
1 skill
[market-research/methodology] Use when the user asks to "analyze competitors", "map competitive landscape", "Porter's 5 Forces analysis", "competitor comparison", "competitive positioning", "identify competitors", "competitive intelligence", or needs competitor research
1 skill
[monitoring/methodology] Unattended, scheduled monitoring of external sources (arXiv, OpenAlex, Crossref, Semantic Scholar, PubMed, bioRxiv/medRxiv, GDELT, Hacker News) for a topic, gated through a mandatory human Editorial Gate before anything publishes
1 skill
[market-research/methodology] Use when the user asks to "understand customers", "customer research", "user personas", "customer needs analysis", "buyer journey mapping", "voice of customer", "customer segmentation", "user research", or needs guidance on customer-discove
1 skill
[channels/channel] Render a research topic's entire surviving findings corpus into a complete Diátaxis documentation set — a reference page per finding, a per-dimension explanation, how-to, and guided tutorial, plus index pages — every page carrying MIF Level-1 frontmatter and a diataxis_type marker
1 skill
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