run-research
Multi-session research workflow: compose logbooks, experiment issues, documentation updates, and snapshot discipline for long-running investigations.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Multi-session research workflow: compose logbooks, experiment issues, documentation updates, and snapshot discipline for long-running investigations.
Create a structured user discovery interview guide with screener questions, a discussion guide, and a synthesis framework. Use when planning user interviews, customer discovery sessions, Jobs-to-be-Done research, or problem validation. Produces a complete guide covering warm-up, problem exploration, and a per-session synthesis template.
全自动生成前沿技术领域的全景图谱。适用于以技术为核心的赛道(如量子计算、核聚变、AI Agent 等),通过双向挖掘(正向追踪学术源头 + 逆向溯源独角兽创始团队)构建学术→开源→商业化的完整脉络。触发词:「技术mapping」「技术全景图」「technology map」「赛道图谱」「前沿技术」「技术路线图」。
End-to-end user research assistant — qualitative and quantitative. Use this skill whenever the user mentions user research, user interviews, discussion guides, interview guides, research plans, qualitative research, quantitative research, user surveys, survey design, usability studies, participant recruitment, research synthesis, interview transcripts, research reports, running studies with AI, or explicitly mentions Cookiy AI. Also trigger when users want to talk to customers, conduct discovery research, create a study or survey, analyze interview data, run AI-moderated interviews, or collect survey responses. Covers the full lifecycle: planning studies, creating discussion guides, running AI-moderated interviews (real or synthetic) via Cookiy, designing and distributing surveys, and synthesizing results into reports.
Market research skill for pain-point extraction, trend detection, competitor positioning, and discovery across community sources (Reddit, HN, Bluesky, Mastodon, GitHub Issues, web). Built-in harvest fetchers, deterministic CLI compute, intent-auto SWOT/Porter's 5F/PESTEL frameworks. Use for market research, pain point analysis, trend detection, competitor research, user complaints, voice-of-customer, 시장조사, 사용자 페인, 트렌드, 경쟁구도.
Scholarly research companion using Knows sidecar spec (.knows.yaml). Generates, validates, reviews, queries, and compares structured research-paper sidecars, and fetches them from knows.academy. Use for academic literature search, survey synthesis, paper authoring assistance, and peer review with token-efficient claim/evidence/relation access.
Trending Hugging Face models, datasets, and spaces — filtered by license sanity, dedup vs same-week quantizations, with a "why notable" line per pick (architecture shift, size step, license change, notable author). Surfaces what's actually shifting rather than just popular. Triggers: "trending on HF", "what models are hot", "huggingface trending", "new spaces today", "best new datasets".
Access real-time X/Twitter attention intelligence for Base chain tokens via the checkr API. Use when you need to know what is trending on CT, which tokens are spiking in social attention, get attention/price divergence signals, or fetch narrative summaries for specific Base tokens. Triggers: "what's trending on Base", "check attention for $TOKEN", "what's spiking right now", "social signal for X", any token research needing CT attention data. Payments via x402 — USDC on Base, no API key or account needed.
Verified contract addresses for Uniswap, Aave, Safe, USDC, ENS, Chainlink, Lido, Aerodrome, and more — across mainnet and major L2s. All verified on-chain via eth_getCode as of February 2026.