Research

Research, evidence gathering, literature, reports, investigation, and synthesis

skills in category: 30,315
pages available: 1,264

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Showing 11,089–11,112 of 30,315 skills

Market ResearchAConduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.researchgotestingVotes: 0GitHub stars: 78
Phase InitAInstantiate a phase artefact (requirements-spec / design-spec / test-spec) from the Programme bundle's template into docs/specs/<feature-id>/. Refuses to overwrite existing artefacts.researchbashVotes: 0GitHub stars: 41
Kb Validate CitationsASpot-check citations in library files for obvious hallucinations. Resolves DOIs against the DOI registry, validates arXiv IDs, checks the format of journal references. Soft-fails on transient lookup failures rather than blocking. Recommended after kb-ingest and as part of periodic library hygiene.researchbashgitVotes: 0GitHub stars: 41
Kb Setup ConsultingAOnboarding workflow for cross-library KB query in a consulting practice. Discovers existing user-scope library registrations, prompts for additions, validates each library, helps activate the relevant ones for the current project, runs a smoke test, and reports a clear "ready" or "issues to fix" verdict. Use --verify-only to skip prompting and just validate existing setup (sub-task 23 of #176).researchpythongoVotes: 0GitHub stars: 41
Kb Rebuild IndexesARebuild the knowledge base shelf-index with hash-based change detection. Incremental by default — only re-extracts files whose content has changed since the last index. Use after ingesting new sources, after editing library files, or whenever the librarian agent reports a stale index.researchpythonbashVotes: 0GitHub stars: 41
Kb QueryAQuery the project knowledge base. Wraps the research-librarian agent. The librarian reads the shelf-index, identifies the 2-4 most relevant library files for the question, deep-reads only those, and returns structured evidence with citations. Stateless — reads the index fresh on every query.researchpythonbashVotes: 0GitHub stars: 41
Kb Promote Answer To LibraryAFile a librarian query result back into the library as a new page with provenance tracking. Karpathy's "good answers can be filed back into the wiki as new pages" insight made concrete. The library compounds from explorations, not just from external sources.researchpythonrustVotes: 0GitHub stars: 41
Kb LintAHealth-check the project knowledge base. Looks for contradictions between files, stale claims that newer sources have superseded, orphan files with no inbound cross-references, important concepts mentioned but lacking their own page, missing cross-references, and data gaps. Returns a structured report; does not auto-fix.researchpythonbashVotes: 0GitHub stars: 41
Kb IngestAIntegrate a new source into the project knowledge base. Wraps the agent-knowledge-updater agent. Source can be a local file path, a URL, or pasted content. The updater reads the source, classifies it, identifies which existing library files it touches, makes surgical updates or creates new files, rebuilds the shelf-index, and appends to log.md.researchgodevopsVotes: 0GitHub stars: 41
Kb Audit QueryAFilter and summarise the cross-library KB audit log. Reports confidentiality events (attribution drops, synthesis aborts, dispatcher failures, no-evidence markers, cross-library promotions) over a date range, by event type, and by source handle.researchpythonbashVotes: 0GitHub stars: 41
Kb CodeindexAParse all `# implements:` annotations in source code and emit `library/_code-index.md` as a shelf-index. Also extracts cross-module import edges and writes `library/_dependency-edges.md`. Idempotent — re-running produces byte-identical output if no annotations or imports changed.researchpythongoVotes: 0GitHub stars: 41
Commission AssuredACommission a project to the Assured (Method 2) SDLC bundle — install plugin, scaffold programs.yaml, set granularity and regulatory context, configure change-impact-gate.researchpythonVotes: 0GitHub stars: 41
Plant Trait Target DeriverAUse this skill when you need to derive, from web-sourced evidence, typical values for a named plant's annual GPP, LAI, specific LAI or specific leaf area, Rubisco Vcmax at 25oC, Jmax at 25oC, root-to-shoot ratio, rooting depth, leaf protein nitrogen, and leaf chlorophyll nitrogen.researchVotes: 0GitHub stars: 3
Paper Site Ecosim WorkflowAExtract study sites, observational variables, coordinates, climate-forcing sources, and cited data sources from ecosystem-modeling papers, PDFs, supplements, or article text, then plan or create EcoSIM simulation workflows and run folders for those sites. Use when Codex is asked to read a paper for EcoSIM feasibility, including requests phrased as "read paper for ecosim feasibility"; read a paper for sites/data availability; reproduce a published site simulation in EcoSIM; compare EcoSIM outp...researchpythongoVotes: 0GitHub stars: 3
Ecosim Trait DeriverAUse this skill when deriving EcoSIM plant trait parameter recommendations for a named plant from web and online literature evidence, using a read-only `plant_trait.*.desc` file and the `ndlf43` tree block or `gr3s43` grass block as the starting archetype. Never edit or replace the `.desc` file.researchpythonbashVotes: 0GitHub stars: 3
Ecosim Plant Trait Sanity CheckARead-only sanity-check of EcoSIM plant_trait.*.desc parameter values for the first grid. Use when validating plant trait description files, enforcing clean C3/C4 physiological parameterization, reviewing photosynthetic kinetics, active leaf/root protein allocation, and root hydraulics such as RSRR, RVSR, and ARSRA, or checking ranges, units, and woody/herbaceous block consistency before running EcoSIM. Never edit or replace the `.desc` file.researchpythongoVotes: 0GitHub stars: 3
Research MemoryARecord and recall research decisions, findings, hypotheses, and experiment analyses in the local research workspace. This does not launch experiments or authorize new runs.researchpythonbashVotes: 0GitHub stars: 3
Research Result CommitACommit completed remote experiment results in the nested research_workspace repository. Use after pulling remote artifacts, ingesting metrics, updating research_workspace/EXPERIMENTS.csv or research_workspace/STATE.md, generating experiment analysis/next-step/search-evidence files, or whenever current ExpID research outputs should be consolidated into one linked research_workspace commit.researchbashgitVotes: 0GitHub stars: 3
MissionARoute explicit Mission requests, supplied Mission specs or task CSVs, and research tasks that require new experiment records.researchgoreactVotes: 0GitHub stars: 3
Pi Autoresearch LoopA> Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection Autonomous experiment loop extension for [pi](https://github.com/antiwork/pi). Continuously proposes changes, benchmarks them, commits wins, reverts losses, and repeats — forever. Works for any measurable target: test speed, bundle size, build time, LLM training loss, Lighthouse scores. ---researchtypescriptgoVotes: 0GitHub stars: 81
Nuwa Skill DistillerA> Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection. Nuwa (女娲) is a Claude Code meta-skill that distills any public figure's **cognitive operating system** — mental models, decision heuristics, expression DNA, and value anti-patterns — into a standalone, runnable `SKILL.md` perspective file. It is not role-play; it extracts verifiable reasoning frameworks from public sources and builds a structured skill that reasons *like* the person, not *as* the person. ---researchrustgoVotes: 0GitHub stars: 81
Nature Academic SkillsA> Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection. A collection of Claude skills for producing academic work at *Nature*-journal standard — covering scientific figures (`nature-figure`) and manuscript prose polishing (`nature-polishing`). ---researchpythongoVotes: 0GitHub stars: 81
Maoxuan Skill Cognitive FrameworkAInstall and use the 毛选.skill cognitive framework for Claude Code — applies Mao Zedong's strategic mental models (contradiction analysis, protracted war, rural encirclement, united front) to help analyze problems, devise strategies, and cut through complexity.researchgobashVotes: 0GitHub stars: 81
Awesome Ai Research WritingA> Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection. A community-maintained prompt library and agent skill collection for AI-assisted academic research writing. Sourced from researchers at MSRA, ByteDance Seed, Shanghai AI Lab, Peking University, USTC, and SJTU. Covers translation, polishing, logic checking, de-AI-ification, figure/table captions, reviewer simulation, and more. ---researchgobashVotes: 0GitHub stars: 81