Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
For complex questions, first identify relevant industries, disciplines, authors, and credible theories, then compare structurally analogous historical successes, failures, and counterexamples to derive a qualified standard answer. Use when users need both a theoretical explanation and historical comparisons, or explicitly ask how something was solved historically, whether there is a classic solution, or what the standard answer is. Do not use when they only need theoretical support for an existing proposition, case, presentation, or methodology.
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
Discover entities (companies, people, products, etc.) matching a natural-language description. Use when the user asks to “find all X” or “list every Y that…”—for example, “Find AI startups that raised Series A in 2026,” “List roofing companies in Charlotte NC,” or “Show me YC W24 dev tools companies.” Unlike web-search, which returns webpages, and deep-research, which returns a narrative report, use this when the user wants a structured list of entities.
Continuously track the web for changes on a recurring cadence. Use when the user asks to “monitor,” “track changes to,” “watch,” or “alert me when” something on the web changes—for example, “Track price changes for iPhone 16,” “Alert me when Tesla files a new 8-K,” or “Monitor competitor pricing pages weekly.” Also use to list, inspect, update, or stop existing monitors, including requests to delete them.
Cross-validate academic references against multiple sources, comparing authors, titles, years, volumes, issues, and page numbers field by field. Flag volume/year or DOI/year conflicts, unusual author order, page discrepancies, and other issues, then produce a structured verification report. Process reference lists from entire papers or proposals in batches, or check individual references. Supports syncing corrections with Zotero.
Complete automated literature discovery pipeline: multi-source search → six-dimension scoring → fine reading → formatted delivery → archival. Combines a configurable engine with daily cron-driven application layer. Works with Feishu, Telegram, or any messaging platform.
Decision-grade research on a topic or this repository. Use when the user says "deep recon", "research this", "draft a research prompt", "process this research report", "market research", "domain research", "technical research", "competitor research", "what users say about X", "literature review", "help me choose between", "research the codebase", "research how X works here" or "why is X built this way". Not for a quick code question answered in chat.
Test a product concept with Amazon's Working Backwards method: write the press release for the finished product first, then answer hard customer and stakeholder questions, ending in a complete PRFAQ document. Use when the user requests to 'create a PRFAQ', 'work backwards', or 'run the PRFAQ challenge'
Test a half-formed idea in a questioning conversation, with different personas probing its weak points, until the user can act on it or drop it with confidence. Optionally writes a short brief for planning skills to build on. Use when the user says 'forge an idea', 'pressure-test this idea', 'stress-test my thinking', or 'harden this idea'
Use for any question about a codebase, its architecture, file relationships, or project content—especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools
Plans, lands and advances a developer relations career from the candidate side — developer advocate, developer evangelist, DevRel engineer, community manager, developer educator, DX engineer. Covers portfolio audits against real hiring signals, a zero-to-hireable artefact curriculum, the six-rung IC ladder, the interview formats DevRel loops use (talk round, content and coding take-homes, DevRel-opinion round), gatekeeper and pit-trap patterns in postings, and offer evaluation weighing reporting line before pay. Use whenever someone asks how to break into DevRel, prep a developer advocate interview, build a DevRel portfolio, choose a track, plan the next rung, or weigh a DevRel offer — even if they only say "should I take this advocate job". Not a job-search tool.
Zhang Xuefeng’s thinking framework and style of expression. Based on in-depth research into 5 books, 15+ authoritative media interviews, 30+ first-hand quotes, 11 key decision records, and a complete life timeline, it distills 5 core mental models, 8 decision heuristics, and a complete expression DNA. Use as a thinking advisor to analyze education choices, career planning, social mobility, and related topics from Zhang Xuefeng’s perspective. Trigger when the user mentions “from Zhang Xuefeng’s perspective,” “what would Zhang Xuefeng think,” “Zhang Xuefeng mode,” or “Xuefeng perspective.” Also trigger for requests such as “help me think about this from Zhang Xuefeng’s point of view,” “what would Zhang Xuefeng say,” or “switch to Zhang Xuefeng.”
Builds a personalised, time-budgeted watch list of developer-relations information sources - DevRel podcasts, newsletters, practice hubs, peer communities, conference calendars, ecosystem data reports and practitioners worth following - plus the routine that keeps it verified and fresh. Use whenever a developer advocate, community manager, DevRel lead or OSS maintainer asks for a DevRel radar, how to stay current on developer relations, which DevRel podcasts, newsletters or Slack communities deserve their time, which developer conferences to attend or speak at, who to follow in DevRel, or to refresh a radar built earlier - even if they only say they feel out of the loop. Not for tracking a rival vendor - use samber/developer-relations-skills@devrel-competitor-analysis.
Produce cited research reports from multiple web sources using firecrawl and exa MCP tools — plan sub-questions, search and deep-read sources, then synthesize findings with inline citations and confidence levels. Use when the user asks to research a topic in depth, run a deep dive or investigation, or do competitive analysis, technology evaluation, market sizing, or due diligence on a company.
Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative
Turns an accepted conference talk abstract into a rehearsable outline: the one-sentence takeaway, a narrative arc, a minute-by-minute time budget, demo placement, and a slide skeleton with cut checkpoints. Use whenever someone says “talk outline,” “technical talk structure,” “slide skeleton,” “my talk got accepted, now what,” “how do I structure this conference talk,” “my talk runs over time,” “what do I cut from my talk,” or “where should the demo go”—even if they only say they are preparing a conference session. Structures what the talk says. Not the CFP abstract—use samber/developer-relations-skills@conference-cfp-submission. Not slide files or stage-delivery coaching.
Turns a talk idea into a submission-ready conference proposal for one specific event, or helps choose which conferences to target and plan a submission calendar across several - track fit, title options, an attendee-facing abstract, verb-first takeaways, the reviewer-only fields, a credibility package, and a self-review against the committee's own criteria. Use whenever the user mentions a CFP, a call for papers, a conference proposal, a talk abstract, a session description, submitting to KubeCon, PyCon or FOSDEM, which conference to submit to, planning a CFP season, or says their proposals keep getting rejected - even if they only ask to shorten an abstract. Covers community-run and vendor-run events. Do NOT use for structuring the accepted talk (samber/developer-relations-skills@tech-talk-outline) or its demo (samber/developer-relations-skills@developer-live-demo-design)
12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, I got reviewer comments, revision roadmap, should we push back, conference rebuttal, grant panel response, audit my rebuttal, check my response draft, AI disclosure, check citations, citation check, check my references, verify references, look over the refs, 寫論文, 學術論文, 引導我寫論文, 審查意見, 我收到審查意見, 修訂路線圖, 評估回覆, 檢查引用, 引用檢查, 檢查參考文獻, 核對文獻, 논문 작성, 초록 작성, 논문 수정, 논문 계획을 도와줘, 심사 의견을 받았어, 심사 의견 반영, 답변서 점검, AI 사용 고지, 인용 확인, 인용 형식 검사, enmendar mi artículo, redactar artículo, guía mi artículo, analizar reseñas, auditar mi respuesta, verificar borrador de respuesta, verificar citas, divulgación de IA.
Do market research, user research, and product validation on Reddit with semantic search across 50K+ subreddits, 20M+ posts, and 40M+ comments via reddapi.dev—search by meaning, not keywords, with no Reddit OAuth or app registration needed. Use when the user wants to research what people say on Reddit, find user pain points and complaints, validate a product or niche idea, do competitor and market research, track subreddit trends over a date range, or discover which subreddits discuss a topic. Also use when the user mentions “Reddit research,” “Reddit 调研,” “search Reddit,” “subreddit discovery,” “niche validation,” “pain points,” “user complaints,” or “Reddit trends.” Requires REDDAPI_API_KEY. For B2B lead scoring, see reddit-leads; for a bare API reference, see reddit-search-api.
Create a lean, decision-ready Product Requirements Document with an 8-section template: summary, contacts, background, objective, market segments, value propositions (6-part JTBD template), solution, and release. Lean by default (about one to two pages), with a fuller spec on request. Use when writing a PRD, documenting product requirements, preparing a feature spec, or reviewing an existing PRD.
Connect Cargo to an external system and find out what it can do — authenticate connectors, browse the integration catalog, and resolve the `connectorUuid` and `actionSlug` a workflow node needs. Triggers: \"connect my HubSpot\", \"is Salesforce connected\", \"what integrations do you support\", \"can Cargo talk to <tool>\", \"what actions does <provider> have\", \"I need the connector UUID\", \"set up the API key for\", \"it is asking for credentials again\", \"why is this connector failing auth\", \"list my connectors\". Integrations: amplemarket, amplitude, attio, bigQuery, calendly, cargoSignals, closecom, contrast, csv, customerio, dbt, emailBison, expandi, googleAds, googleCalendar, googleSheets, heyReach, http, hubspot, hubspotMcp, instantly, instantlyV2, intercom, jira, kitt, lemlist, lgm, linkedinAds, linkedinMatchedAudience, livestorm, manus, marketo, metaAds, metabase, microsoftTeams, mixpanel, monaco, netsuite, netsuiteSoap, nooks, notionMcp, octave, onesignal, outreach, pipedrive, postgresql, redshift, resend, rift, salesforce, salesforceMcp, salesloft, Sendgrid, sillage, slack, smartlead, snowflake, sql, stripe, xAds, and 87 more. Skip when: choosing between enrichment providers for a GTM job — use cargo-gtm and its provider playbooks
Search live flight fares for a route and date across Agoda, Trip.com, and Traveloka — one-way or round-trip, any cabin, with airline, times, stops, duration, and a direct booking link. Use when the user wants flight prices, plane or air tickets, cheap flights or airfare between two cities, comparing airlines for travel dates, or planning the flying leg of a trip.
Compare live hotel room rates across Booking.com, Agoda, Traveloka, and OpenTravel for specific dates — which OTA is cheapest for the same property, per-room prices, and free-cancellation terms. Use when comparing hotel prices, checking room rates for a named hotel, asking which site is cheaper, or finding the best rate for given check-in/check-out dates.
Recommend hotel rooms and complete a real booking end to end — reserve an OpenTravel direct property with a payment link (bank QR, card, or PayPal), check payment status, resend an expired link, or cancel a booking. Falls back to direct Booking.com/Agoda/Traveloka links for OTA-only hotels. Use when booking or reserving a hotel, getting room recommendations, paying for a stay, checking a confirmation code, or cancelling a reservation.
Design optimal team structures, hiring plans, compensation strategies, and equity allocation for early-stage startups from pre-seed through Series A. Use this skill when planning headcount, determining which roles to hire next, setting compensation or equity ranges, designing org structure, or building a hiring budget aligned to funding milestones.
Run a pre-mortem risk analysis on a PRD or launch plan. Categorizes risks as Tigers (real problems), Paper Tigers (overblown concerns), and Elephants (unspoken worries), then classifies as launch-blocking, fast-follow, or track. Use when preparing for launch, stress-testing a product plan, or identifying what could go wrong.
Use when the user needs multi-source research with citation tracking, evidence persistence, and structured report generation. Triggers on "deep research", "comprehensive analysis", "research report", "compare X vs Y", "analyze trends", or "state of the art". Not for simple lookups, debugging, or questions answerable with 1-2 searches.
Administer a Cargo workspace and talk back to the Cargo team — invite and manage members, mint and rotate API tokens, organize plays, tools, and agents into folders, inspect roles, upload batch input files, and file reports. Triggers: "invite my teammate", "create an API token for CI", "who has access", "organize these into folders", "rotate that token", "upload this CSV for a batch" — and for feedback: "report this bug to Cargo", "send feedback to the Cargo team", "this CLI command is broken", "share this session with Cargo", "request a feature". Most commands need a token with admin access. Skip when: the question is about credits, plans, or invoices — use cargo-billing.
Reference guide to 9 prioritization frameworks with formulas, when-to-use guidance, and templates — RICE, ICE, Kano, MoSCoW, Opportunity Score, and more. Use when selecting a prioritization method, comparing frameworks like RICE vs ICE, or learning how different prioritization approaches work.
Transform an output-focused roadmap into an outcome-focused one that communicates strategic intent. Rewrites initiatives as outcome statements reflecting user and business impacts. Use when shifting to outcome roadmaps, making a roadmap more strategic, or rewriting feature lists as outcomes.
Multi-perspective academic paper review with dynamic reviewer personas. Runs a 5-seat, role-separated review panel (Journal-Fit Reviewer + 3 peer-review roles + Devil's Advocate) with field-specific expertise; role separation is not a claim of independent error processes. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy, 審查論文, 論文審查, 模擬審查, 同儕審查, 幫我審這篇, 以審查人角度評估, 審查者校準, 논문 심사, 동료 심사, 모의 심사, 심사자 관점에서 평가, 심사자 보정, revisar artículo, revisión entre pares, revisión de manuscrito, informe de árbitro, revisa mi artículo, criticar artículo, simular revisión, revisión editorial, calibrar revisor
Summarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl), per-user profiles, and per-group fact memory (memory.md) across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.