data-collection
FeaturedTo gather source artifacts from issue tracker, wiki, TMS into a provided raw-context artifact. Read-only.
Install
Quality Score: 94/100
Skill Content
Details
- Author
- griddynamics
- Repository
- griddynamics/rosetta
- Created
- 5 months ago
- Last Updated
- 2 days ago
- Language
- TypeScript
- License
- Apache-2.0
Bundled in these plugins
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Organize, format, and index research as OKF-conformant knowledge bundles — dated, sourced, append-only snapshots of the external evidence behind a decision (technology evaluations, library comparisons, industry-practice surveys). Use when recording research output, structuring a docs/research/ session, enforcing source discipline (primary sources, vendor-COI flags, inference-vs-fact labels, confidence levels), or wiring the research → decision → issue traceable chain. Pairs with deep-research (which gathers/verifies the evidence) and living-docs (which owns the ADR/BDR/issue artifacts research feeds into).
data-sourcing
Data collection and readiness — the step BEFORE a pipeline exists. Catalog candidate data sources for an objective, rank each by importance/impact, and record where to get it (internal system vs. open/public dataset), how to access it, its refresh cadence, licensing, and readiness blockers. Use this skill whenever a project is starting and the sources aren't decided yet, when the user asks "what data do I need for X and where do I get it", when weighing internal vs. open-source data, or when assessing whether a source is accessible/usable before committing to a build. This sits upstream of pipeline-design — it decides WHAT to ingest before deciding HOW.
collecting-sources
Collects research sources with quality evaluation. Use when gathering or finding sources, building a source library, searching for academic papers, or performing RADAR assessment.