knowledge-research
Parses research documentation to output structured data, enabling agents to cite evidence-based findings.
Install
mkdir -p .claude/skills/knowledge-research && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/15001" && unzip -o skill.zip -d .claude/skills/knowledge-research && rm skill.zipInstalls to .claude/skills/knowledge-research
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Read the merged research-doc.md for an OKR. Returns structured findings (R-N anchors) for the PRD agent to cite.Key capabilities
- →Read research-doc.md for an OKR
- →Return structured findings with R-N anchors
- →Parse synthesis prompt-pack's strict format
- →Extract whitespace analysis bullets
- →List final references
How it works
The skill reads the merged research artifact at a specific path using a 10-section anchor scheme and outputs parsed findings, whitespace analysis, and references.
Inputs & outputs
When to use knowledge-research
- →Extracting OKR research insights
- →Citing research evidence in PRDs
- →Parsing synthesis findings
- →Validating research dependencies
- →Linking research to documentation
About this skill
Knowledge Research Skill
The PRD agent's bridge from Why → How. Reads the merged research artifact at okrs/<id>/why/research-doc.md and surfaces it in a parseable shape so FR-NN can cite R-N anchors.
Inputs (stdin JSON)
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
okrId | string | yes | — | The OKR id whose why/ phase has merged. |
Outputs (stdout JSON)
| Field | Type | Description |
|---|---|---|
ok | boolean | False if why/research-doc.md is absent. |
findings | { id: "R-N", title, supporting: string[], contradicting: string[], confidence: "HIGH" | "MEDIUM" | "LOW" }[] | Parsed from the synthesis prompt-pack's strict format. |
whitespace | string[] | The "Whitespace Analysis" section's bullets. |
references | string[] | The final References list. |
Invocation
echo '{"okrId":"OKR-2026Q1-IMDB-001-celeb-api"}' \
| npx @maintainabilityai/research-runner@~0.1.64 skill-knowledge-research
Implementation
Parses okrs/<id>/why/research-doc.md using the 10-section anchor scheme from prompt-packs/looking-glass/research/synthesis.md. CLI subcommand backend lands in B-PR1a.
Error contract
{ok: false, reason: 'research-not-merged-yet'} when the file is missing — agent stops and notes the gating dependency.
When not to use it
- →When the research-doc.md file is missing
Limitations
- →Requires the research artifact to be merged at okrs/<id>/why/research-doc.md
How it compares
This skill automates the extraction of structured research findings from a markdown document, unlike manual review.
Compared to similar skills
knowledge-research side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| knowledge-research (this skill) | 0 | 2mo | Review | Beginner |
| tooluniverse-disease-research | 0 | 2mo | No flags | Intermediate |
| paperlab_reproducibility_capsule | 0 | 1mo | No flags | Intermediate |
| literature-review | 559 | 2mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
You might also like
tooluniverse-disease-research
mims-harvard
Generate comprehensive disease research reports using 100+ ToolUniverse tools. Creates a detailed markdown report file and progressively updates it with findings from 10 research dimensions. All information includes source references. Use when users ask about diseases, syndromes, or need systematic disease analysis.
paperlab_reproducibility_capsule
equinor
|
literature-review
K-Dense-AI
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
openalex-database
davila7
Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.
market-research-reports
davila7
Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework strategic analysis including Porter's Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix.
scientific-brainstorming
davila7
Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving.