Plugins
12 plugins@samyakjhaveri
Research
Research from SamyakJhaveri/loam.
18 skills · plugin
@brycewang-stanford
Auto Empirical Research Skills
Auto Empirical Research Skills from brycewang-stanford/Auto-Empirical-Research-Skills.
86 skills · plugin
curated
Deep Research Report
For analysts and researchers needing comprehensive, evidence-backed reports with citations.
11 skills · plugin
@phuryn
Market Research
Market research skills for PMs: user personas, market segmentation, sentiment analysis, and competitive analysis.
7 skills · plugin
@owl-listener
Design Research
User research skills for designers: personas, empathy maps, journey maps, interview scripts, usability testing, and card sorting.
12 skills · plugin
@alirezarezvani
Research Ops
Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork) + clinical-research (study design: protocol synopsis + endpoint selection + sample-size/power for means/proportions/survival + phase-gate feasibility) + research-finance (R&D program budgeting with F&A split + burn/runway + capital
5 skills · plugin
curated
Market Research Report
Install this pack to produce a decision-oriented market research report with competitive analysis, market sizing, and source attribution.
7 skills · plugin
curated
Company Research Profile
Install this pack to build and manage a company research profile with fundamentals, valuation bands, red flags, and events.
4 skills · plugin
curated
User Persona from Research
Install this pack to create detailed, actionable user personas from research data with jobs-to-be-done and behavioral insights.
5 skills · plugin
@testdouble
Han Research
Pre-planning knowledge-work skills for the Han suite: understanding a problem before anyone commits to a plan. Home of research, gap-analysis, and issue-triage, plus the research-analyst agent. Depends on han-communication and han-core; bundled by the han meta-plugin.
3 skills · plugin
@brycewang-stanford
25 HosungYou Diverga
25 HosungYou Diverga from brycewang-stanford/Auto-Empirical-Research-Skills.
32 skills · plugin
@brycewang-stanford
42 Wanshuiyin ARIS
42 Wanshuiyin ARIS from brycewang-stanford/Auto-Empirical-Research-Skills.
38 skills · plugin
Results for “research”
453 skillsralph-copywriter
Use this skill when the user asks to "analyze my content", "learn my writing style", "research competitors", "find content angles", "improve my blog", "write like me", "embody my brand voice", or mentions content strategy, voice analysis, competitive research, or iterative content improvement.
3
last30
Deep research across Reddit, X/Twitter, Hacker News, YouTube, Polymarket, and the web from the last 30 days. Synthesizes findings into a grounded, cited briefing. Use when: researching trends, doing competitive analysis, answering 'what's the latest on X', or comparing tools/products.
0 · bundle
doubao-research-proposal
用于国自然、国社科等基金申请、开题报告、博士后/人才计划、研究计划书等学术提案的撰写、审查和优化;当用户需要基于已有研究成果形成立项书、区分事实与 AI 建议、检查任务书一致性、补强论证逻辑时使用。
9 · bundle
self-review
Forge reviews its own skill updates, review history, and research outputs before publishing them.
0
deepapi
Use DeepAPI for supported scraping, research, and email workflows with explicit credentials and approval.
6
persona
Generate data-driven user personas for UX research and product design. Usage: /persona generate [options]
0
abstract-generator
Generates structured abstracts for research papers with background, methods, results, and conclusions
6 · bundle
competitor-analysis
Discovers competitors via search API, deeply researches each with a multi-lane pattern, and compiles an HTML report with overview, per-competitor deep dives, feature/pricing matrix, and mentions feed.
3.6k · bundle
hv-analysis
Produces a deep research report on a product, company, concept, or person using the Horizontal-Vertical Analysis method, combining a longitudinal narrative with a cross-sectional competitive comparison, and outputs a beautifully formatted PDF.
· bundle
cue
智能路由中心,自动识别用户意图并路由到相应技能,提供专业化的深度研究体验,支持多Agent并行调研与监控。
2
brainstorming
Clarify vague requirements through exploratory questioning and option generation before committing to research or implementation.
1.7k · bundle
infographics
Generate publication-quality infographics using Nano Banana Pro AI with Gemini 3 Pro quality review and optional Perplexity Sonar research. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
30.2k · bundle
search-first
Guides the agent to research existing tools, libraries, and patterns before writing custom code, using parallel searches across package registries, MCP servers, skills, and GitHub, then evaluating and deciding to adopt, extend, or build.
1
research-with-confidence
Investigates a question systematically before answering — verifying claims through sources, distinguishing known facts from inferences, and calibrating expressed confidence to actual certainty. Use when asked to research a topic, verify a claim, evaluate a technology, or answer a question where accuracy matters more than speed.
0 · bundle
astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
11
astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
2
astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
1
aso
Optimize app store listings with keyword research, A/B testing, and conversion tactics for iOS and Android.
12
astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
1
astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
0
astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
1
astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
2
astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
63 · bundle
astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
7
astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
1
astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
0 · bundle
astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
45.1k · bundle
clinic-memo
Draft an internal legal research memo for the supervising attorney with verified authority and flagged open questions.
0
rsr-deep-dive
Run a structured, multi-source deep-research loop on a question until the answer stops changing.
0
astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
2
astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
6
planning-patterns
Structured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity.
1.7k · bundle
astropy
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
1
search
Searches the web, legal databases, case law, patents, and case.dev knowledge base via the casedev CLI. Use when the user mentions "search", "legal research", "find cases", "case law", "patent search", "web search", "fetch URL", "webfetch", "legal skills", or needs to research legal topics, find similar cases, or retrieve web content.
34
stata-accounting-research
STATA code pattern library for empirical archival accounting research. Provides tested syntax from 126 peer-reviewed JAR (Journal of Accounting Research) replication files (2017-2025). Use when the user asks procedural questions like "How do I implement [method]?" or "Show me code for [technique]" — including: entropy balancing, propensity score matching (PSM), difference-in-differences (DiD), regression discontinuity (RDD), instrumental variables (IV), event studies (CAR/BHAR), survival analysis, Fama-MacBeth regressions, bootstrap, quantile regression, reghdfe/xtreg/areg, clustering standard errors, fixed effects, esttab/outreg2 table formatting, winsorization, leads/lags. Users can specify their variables (e.g., treatment, outcomes, controls) and receive adapted syntax. NOTE: This skill provides code patterns from published papers, not research design advice.
1k · bundle
spec-creation
Feature specification creation from codebase research. Produces requirements, acceptance criteria, architecture decisions, implementation plans, and risk analysis.
1.7k · bundle