research-routes
From the author
Compare multiple research routes with explicit Claims, Evidence, unknowns, failure regimes, and reversible probes. Use when a person needs route-neutral exploration before implementation, experiment authorization, HumanDecision, or canonical-state promotion.
Install
npx skills add zenx0x/allinluna --skill research-routes -a claude-code
Installs to .claude/skills/research-routes/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 80
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Similar skills
Closest to this one by what they do and when they are used.
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- research-routes-runzenx0x/allinlunaExecute an approved Research Routes context across software, research-exploration, or hybrid journeys with concurrent route owners, shared control-plane resources, CounterPilot read-only boundaries, explicit evidence and provenance, lifecycle recovery, and HumanDecision seams. Use when implementation or experiments must proceed without treating AI inference as fact or silently changing canonical state.Science★ 63
- research-routes-planzenx0x/allinlunaPlan software, research-exploration, or hybrid work from a repository, question, problem, frame, or arbitrary starting point. Use when Codex needs a route-neutral map, shared backbone, concurrent routes and branches, explicit claims and hypotheses, provenance, evidence polarity, lifecycle recovery, or a plan that keeps candidate inference separate from HumanDecision and canonical state.Science★ 63
- compare-research-methodsxingtaxueshu/literature-review-skillsCompare research methods for an academic literature review, thesis proposal, or methodology section by linking each method to what it can and cannot answer. Use when the user needs to justify method choice, compare quantitative/qualitative/mixed-method designs, build a methods table, or turn "I will use this method" into a defensible argument tied to the research question.Science★ 63
- researchalirezarezvani/claude-skillsDefault entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends/sentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research, deepread for evidence-first reading of supplied documents) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Use when the user makes any research request that doesn't obviously match a more-specific specialist skill (e.g., "research [topic]", "look into [topic]", "what do we know about [topic]", "investigate [topic]", "find me information on [topic]", "do some research on [topic]", "I need to understand [topic]"). Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.Science★ 28.6K
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