surveying-prior-work
Use after framing a question and before designing an analysis, or when choosing a method, judging whether a result is novel, or needing a prior effect size for a power calculation
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use after framing a question and before designing an analysis, or when choosing a method, judging whether a result is novel, or needing a prior effect size for a power calculation
Look up Azure REST API and ARM template reference documentation for any resource type. Returns exact property schemas, required fields, valid values, and latest stable API versions. Use BEFORE generating or modifying ARM templates to ensure correctness. No Azure connection required.
[Beta] Cross-session analysis of accumulated .learnings/ files. Reads all entries, groups by pattern_key, computes recurrence across sessions, and outputs ranked promotion candidates. This is the outer loop's inspect step — it turns raw learning data into actionable gap reports. Use on a regular cadence (weekly, before major tasks, or at session start for critical projects). Can be invoked manually or scheduled.
Use when the user wants to judge whether a paper, dataset, benchmark, blog, or related resource belongs in Awesome-Virtual-Cell, whether an existing README entry should be updated, where an item should be placed, or how it should be written in house style.
Use when the user wants a recent literature sweep for Awesome-Virtual-Cell, especially for latest papers, Nature-family journals, major labs, big groups, or a time-bounded update of what the README is missing.
Discover candidate LLMs and produce a kernel inventory — required definitions, classified as existing/new and fi_supported/fi_missing — for onboarding. Use as Phase 1 of /onboard-model, or standalone to plan onboarding work.
Find companies similar to a seed domain via PredictLeads' similar_companies endpoint and persist them as a result set ready for enrichment or qualification. Use when the user says 'find lookalikes for [domain]', 'companies similar to [name]', 'show me lookalike accounts', 'expand from this company', or 'discover similar prospects'. Side-effecting — calls PredictLeads API and writes to local cache.
Historical research from primary sources to scholarly analysis
Use when a teammate wants to find companies similar to a known account, asks "find lookalikes for [domain]", "companies like [client]", "similar to [domain]", "competitors of [company]", or "expand the target list from [client]". Pure account discovery — no outreach drafting, no CMO finding.