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8 research skills for Claude Code, Codex, Cursor, and meshcode — deep research, literature review, customer research, survey design, patent landscape analysis, competitor research, dossiers, and research briefs. Knowledge-first Agent Skills: trust hierarchies, sample-size math, IPC classification analysis, and fixed output contracts.

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meshcode-ai/skills-research

Research cover

License: MIT Skills Standard

Research skills for Claude Code, Codex, Cursor, and meshcode — deep research, literature review, customer research, survey design, patent landscape analysis, competitor research, dossiers, and research briefs. The 8 research skills (res-*) are distilled editions containing judgment knowledge only, with no scripts or install procedures: source credibility tiers (primary > official reports > industry > press), literature screening criteria, survey sample-size formulas, patent IPC/CPC analysis methods, and a fixed output contract (## Output) for every skill. They follow the Agent Skills standard (agentkills.io) — just unzip them into your project's .meshcode/skills/ in a flat layout, and Claude Code, Codex, Cursor, and meshcode desktop will pick them up automatically from the next session onward.

Who this is for

  • PMs and planners — quickly turn competitor analysis, customer research, and survey plans into evidence-backed documents
  • Researchers and consultants — literature review and patent landscapes as reproducible procedures
  • Startup founders — company and people dossiers before investor meetings, validating market hypotheses with surveys
  • AI agent operators — a collection of knowledge-first skills ready to publish to stores and registries

TOC

Skill list

Skill Role Core judgment criteria
res-deep-research Multi-source synthesis research Credibility tiers 1–4, conflict resolution rules
res-litreview Literature review PRISMA screening, finding-level synthesis
res-customer-research Customer & user research JTBD translation, 5 bias checks
res-survey-design Survey design Sample-size formula (n≈384), non-response bias
res-patent-landscape Patent landscape IPC/CPC classification search, CR5 · 3 FTO elements
res-competitor-research Competitor analysis Complaint frequency, moat judgment, price normalization
res-dossier Company & people dossiers [F/E/I] tags, mandatory unverified section
res-research-brief Research plans Decision sentence, success criteria agreed in advance

Install

  1. Download the zip → extract into your project's .meshcode/skills/ (keep the folder flat: .meshcode/skills/res-deep-research/SKILL.md)
  2. Start a new Claude Code · Codex · Cursor · meshcode session → skills are exposed automatically
  3. Full catalog at the hub: github.com/meshcode-ai/skills

Skill details

res-deep-research

Multi-source deep research with citation-grade synthesis — frames the question, gathers primary/official sources, resolves conflicts, delivers a sourced verdict. Use when the user says "deep research", "research this thoroughly", "investigate this for me", "research request"…

res-litreview

Structured literature review — search strategy, inclusion/exclusion screening, quality appraisal, and synthesis map of a research field. Use when the user says "literature review", "prior work review", "literature search"…

res-customer-research

Customer and user research — interview guides, JTBD framing, evidence-based insight synthesis, and bias controls. Use when the user says "customer research", "user research", "customer interview"…

res-survey-design

Survey and questionnaire design — sampling plan, sample-size math, question wording, order and non-response bias checks, analysis-ready instrument. Use when the user says "survey design", "questionnaire design", "sample size"…

res-patent-landscape

Patent landscape and freedom-to-operate analysis — IPC/CPC classification mapping, assignee and citation clustering, white-space and risk screening. Use when the user says "patent landscape", "patent analysis", "FTO"…

res-competitor-research

Competitor research — systematic profiling of rivals' product, pricing, positioning, GTM, and moat with evidence-graded comparison tables. Use when the user says "competitor analysis", "benchmark"…

res-dossier

Structured dossier building — entity briefing packs on companies or people with verified facts, timeline, network map, and open questions. Use when the user says "dossier", "company profile", "person research"…

res-research-brief

Research brief writing — turns a fuzzy topic into a scoped, decision-oriented brief with questions, success criteria, and an executable plan others can run. Use when the user says "research brief", "research plan"…

Hub & related repos

  • Hub catalog: github.com/meshcode-ai/skills (llms.txt · index.json · robots.txt)
  • skills-seo — 7 SEO/AEO skills
  • Planned: skills-marketing · skills-copy · skills-ops · skills-biz · skills-exec (rolling releases under the same spec)

Use with meshcode

These skills are built for meshcode (free download — macOS/Windows):

  1. Open your project in meshcode
  2. In chat, ask "show available skills", then "install the research skills" — meshcode fetches from this repo automatically, no git or terminal needed
  3. They appear in the next session and load only when a task matches, so installing all of them stays cheap

Manual alternative: download this repo's zip and extract into your project's .meshcode/skills/. Also works in Claude Code (~/.claude/skills/), Codex, and Cursor.

About

8 research skills for Claude Code, Codex, Cursor, and meshcode — deep research, literature review, customer research, survey design, patent landscape analysis, competitor research, dossiers, and research briefs. Knowledge-first Agent Skills: trust hierarchies, sample-size math, IPC classification analysis, and fixed output contracts.

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