Research & Search
Research agent skills teach AI agents to gather and synthesize information properly: literature reviews, competitive analysis, web research with citations, and structured summaries. Each SKILL.md encodes a method, not just a prompt, so results stay consistent across runs.
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yogsoth-ai Skill Executing SpecsExecute a Research Spec step by step, respecting context protocol, deviation limits, and backtrack rules. Supports multi-session recovery.
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yogsoth-ai Skill Narrative ReviewTheory-driven literature review for building arguments and frameworks. Flexible, subjective, and narrative-focused — selects evidence strategically to support a thesis. High web-research budget for blogs, opinion pieces, and industry perspectives. Use when the user is writing a position paper, survey introduction, or constructing a coherent narrative around a research theme.
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yogsoth-ai Bundle Pico ApplicationSOP: apply the PICO/PICOTS framework to structure a research question
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yogsoth-ai Bundle Pico FormulationConstruct PICO/PECO framework for the meta-analysis research question
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yogsoth-ai Bundle Research CatalogCapability menu for the research engine. Lists the 10 freely-composable research packages, what each does, when to reach for it, and a pointer to its full skill table. Read this after north-star crystallization to decide which packages to use — no fixed order. Also serves as the skill-index (capability map).
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yogsoth-ai Bundle Scope AssessmentSOP: Assess whether a research question has appropriate scope (too broad / appropriate / too narrow)
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yogsoth-ai Bundle Severity ScoringRate failure mode severity 1-10 based on end-effect impact. Follows AIAG-VDA severity scale calibrated for research artifacts.
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yogsoth-ai Skill Spec Self ReviewQuality gate for Research Specs. Checks for placeholders, consistency, scope, ambiguity, context protocol, and quantification. Mandatory before user review.
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yogsoth-ai Skill Citation ChainingForward and backward citation tracing tactic — expand paper coverage by tracing citation networks in both directions from seed/key papers. Alternates forward (who cited this) and backward (what this cited) passes until saturation.
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yogsoth-ai Skill Clarify ResourcesUnderstand what resources the user has available for research — compute, timeline, collaboration, data access, experimental environment. Every item accepts 'TBD' as a valid answer.
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yogsoth-ai Skill Creative IdeationCreative Generation Engine — transforms research hypotheses into diverse solution spaces via 10 parallel creativity campaigns spanning structural, analogical, destructive, and combinatorial methods.
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yogsoth-ai Skill Literature SearchMedium-depth literature search — read AI-summarized reports for every paper analyzed
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yogsoth-ai Skill Literature SurveyAutonomous Literature Survey Campaign — 5 research paradigms (scoping, systematic, deep, narrative, snowball) with quantitative budget enforcement. Selects and executes the right survey paradigm based on research intent.
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yogsoth-ai Bundle Scenario PlanningWhat might the future look like — construct multiple future scenarios, assess research approach robustness under different assumptions
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yogsoth-ai Bundle Scope CalibrationStrategy: Adjust research question scope — zoom in/out until the scope is appropriate
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yogsoth-ai Bundle Spice ApplicationSOP: Apply the SPICE framework to structure an evaluation research question
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yogsoth-ai Skill Systematic SurveyExhaustive PRISMA-style literature survey — comprehensive coverage of all related work on a specific question. Multi-stage screening, citation chaining, quality assessment, and structured data extraction. Use when the user needs to demonstrate complete literature coverage or conduct rigorous gap analysis.
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yogsoth-ai Skill Context CheckpointAppend research process and results to the current Phase's context file. Covers both process and results with genuine substance. Use this skill at plan-designated checkpoint points — typically after each strategy completes or at key decision nodes within a research Phase.
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yogsoth-ai Skill Formulate Top GoalExpress the user's chosen research direction as a formal goal statement in the format: 'Achieve [what], such that [effect], under [constraints]'. Confirm with user before proceeding to decomposition.
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yogsoth-ai Bundle Framework MatchingSOP: Match the most suitable RQ framework based on research type
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yogsoth-ai Bundle Identify ObstaclesEnumerate barriers to pursuing the chosen research direction — knowledge barriers, resource barriers, capability barriers, competition barriers. May optionally use search tools to discover obstacles the user hasn't mentioned.
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yogsoth-ai Bundle Importance ScoringSOP: assess the academic and practical importance of a research gap, output a 1-5 score with rationale
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yogsoth-ai Bundle Occurrence ScoringRate failure mode occurrence probability 1-10. Estimates how likely each failure mode is to manifest during research execution.
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yogsoth-ai Bundle Question SynthesisSOP: synthesize all intermediate products into a final research-question set
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yogsoth-ai Bundle Spider ApplicationSOP: Apply the SPIDER framework to structure a qualitative research question
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yogsoth-ai Skill Direction NarrowingFocus within the user's chosen field(s). Identify specific sub-directions through deep paper and web research, then present ranked candidates. Use after landscape-reconnaissance has identified fields of interest.
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yogsoth-ai Bundle Eclipse ApplicationSOP: apply the ECLIPSE framework to structure a mixed-methods research question
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yogsoth-ai Bundle Feasibility ScoringSOP: assess the attackability of a research gap, identify bottlenecks, and output a feasibility score
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yogsoth-ai Bundle Landscape SynthesisEvaluate each candidate research field on maturity, competition, entry barrier, and publication opportunity. Synthesizes broad-web-search results into a structured FieldPanorama. Must consider both niche approaches AND direct frontal competition in hot fields.
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yogsoth-ai Skill Literature OverviewQuick landscape scan — discover papers on a topic without full-text reading
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yogsoth-ai Skill Question GenerationSOP for generating research questions from promising gaps in the design space.
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yogsoth-ai Skill Scope ClarificationStructured questioning SOP to determine research boundaries, depth, and breadth. Used during spec generation.
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yogsoth-ai Bundle Timeline ProjectionExtrapolate research landscape timelines using trend analysis and milestone projection
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yogsoth-ai Bundle Criterion DefinitionExtract evaluation criteria from research goals and candidate alternatives.
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yogsoth-ai Bundle Finer Criteria CheckSOP: check research-question quality against each of the 5 FINER criteria
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yogsoth-ai Bundle Ahrq Picme AssessmentSOP: Use the AHRQ PiCMe framework to systematically assess a research gap across 6 dimensions
Frequently asked questions
What are Research & Search agent skills?
Research agent skills teach AI agents to gather and synthesize information properly: literature reviews, competitive analysis, web research with citations, and structured summaries. Each SKILL.md encodes a method, not just a prompt, so results stay consistent across runs.
Which Research & Search skills are most installed?
Popular Research & Search skills on SkillMD right now include executing-specs, narrative-review, pico-application. Rankings shift as installs change; sort this page by "Most installs" for the live list.
Do Research & Search skills work with Claude Code and Cursor?
Yes. Every skill here ships as a SKILL.md file, an open format that works in Claude Code, Claude.ai, Cursor, Codex, Windsurf, and 60+ other agents. Install one with npx skillmds@latest add <owner>/<name>, or copy the file into your agent's skills directory.