Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
When the user wants a summary of what's trending on Product Hunt, Hacker News, Indie Hackers, or other product/startup communities. Also use when the user mentions "what launched today", "trending products", "HN front page", or "keep up with the market".
Use when the user invokes Pipa or asks to plan a service-business workday, shut down work for the day, or prepare tomorrow. Routes business operations to get work, define work, deliver work, get paid, keep clients, improve operations, Manage Pipa, or Pipa Tools.
Draft professional, empathetic customer-facing responses adapted to the situation, urgency, and channel. Use when responding to customer tickets, escalations, outage notifications, bug reports, feature requests, or any customer-facing communication.
Use WeChat on macOS Apple Silicon or Windows x64: query sessions, contacts and history, listen for messages, and send authorized text. Select the host-specific backend first. Windows has a standalone experimental CLI/MCP package with no system Python requirement; macOS uses the managed WeChat 4.1.9 clone and supports HTTP Bridge/Wechaty.
Design and implement automation workflows to save time and scale operations as a solopreneur. Use when identifying repetitive tasks to automate, building workflows across tools, setting up triggers and actions, or optimizing existing automations. Covers automation opportunity identification, workflow design, tool selection (Zapier, Make, n8n), testing, and maintenance. Trigger on "automate", "automation", "workflow automation", "save time", "reduce manual work", "automate my business", "no-code automation"
Find and download virtually any digital resource from the internet — ebooks, academic papers, movies, TV shows, music, software, images, fonts, courses, and more. Covers both English and Chinese internet ecosystems. Includes CLI tool workflows (yt-dlp, aria2, gallery-dl, spotdl), resource site directories, cloud drive search engines (百度/阿里/夸克网盘搜索), and search techniques (Google dorks). Use when the user wants to: (1) download a video, audio, or media from a URL, (2) find and download an ebook or academic paper, (3) find and download software, (4) search for any digital resource, (5) batch download images or media from a gallery/site, (6) download torrents or magnet links, (7) find free stock assets (images, video, audio, fonts), (8) search Chinese cloud drives for resources, or (9) any task involving finding or downloading digital content from the internet.
Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.
Captures conversations and supplied notes as Notion wiki pages, how-to guides, FAQs, decision records, or retrospectives. Use when saving or updating durable knowledge from existing context; use research-documentation when new source discovery and synthesis is the main task
Handle event-triggered automations for Pipa. Use whenever the user wants Pipa to run a workflow when an external event occurs, such as a GitHub PR opening, a Linear issue being created, a Slack channel changing, or a new ticket arriving, or asks to list, inspect, or delete existing event triggers. This skill handles trigger proposals, confirmation, and gateway trigger-subscription API calls.
Prompt the user with pointed questions to extract what is in their head about a project — remaining work, what is being avoided, what really matters, what does not. Use when the user says "prompt me", "ask me questions", or wants the agent to figure out priorities by questioning them
Adversarial analysis deploying parallel expert agents to stress-test ideas, strategies, and plans — decomposes into atomic claims, attacks them, then steelmans and counter-argues, producing severity-ranked findings with remediation. USE WHEN red team, attack idea, counterarguments, critique, stress test, devil's advocate, find weaknesses, break this, poke holes, strongest objection. NOT FOR collaborative debate to find best path (use Council)
Set up the sense CLI on a markdown tree and make the decisions that shape its index: run sense init, choose sqlite, duckdb, or turso, define presets and search signals, configure embeddings, and design queryable note conventions. Use when creating or restructuring a markdown knowledge base, editing sense.config.json, choosing a store or embedding model, or deciding how agents should write notes for later retrieval.
Multi-source research with citations using You.com. Use for questions that need several sources compared and synthesized, such as library or framework comparisons, tool and vendor evaluations, market research, or deep-dive reports. Routes between a cost-conscious agentic search loop and the one-shot `you-research` MCP tool.
Busabase is the open-source database and workspace for AI agents. Use this skill to read and write a Busabase workspace — records, docs, files, skills and apps — through the CLI, API or MCP. Writes are change requests: they land at once with write access and wait for review otherwise.
A-share sector research: computes board-wide Top N gainers, cross-checks week/month announcement windows across two sources, and grades market-sentiment evidence (L1–L3), via parallel Agent Team execution with fresh-context adversarial verification. Use for 「XX 行业 Top N/Top 10 标的」, 「这些标的最近一周/一个月发过哪些公告」, 「判断 XX 行业/板块现在的市场情绪」, or 「用 Agent Team 做行业投研」/对抗验证行业研究结论。
Research and discovery workflow for document deliverables — competitive analyses, architecture comparisons, ADR scaffolding, literature reviews, vendor evaluations. No TDD requirement. Phases: gathering → synthesizing → completed. Triggers: 'discover', 'research', 'explore topic', or discover.
Activate this skill when a student provides study material (PDF or pasted notes) and a syllabus, and wants to prepare for an exam. Extracts key definitions, points, keywords, diagrams, exam-ready sentences, and practice questions strictly from the provided material.
Create, retrieve, update, and manage GitLab issues with full context gathering. Use when the user wants to create a new issue, view issue details, update existing issues, list project issues, or manage issue workflows on GitLab (glab CLI). If the user does not specify the platform, check the repository's git remote: use this skill only if the remote is GitLab — otherwise see github-issues
Create and manage persistent markdown planning files for structured task execution. Use when the user asks to “create a plan”, “track progress”, “start a research project”, or when a task requires more than 5 tool calls and needs structured phase tracking to stay focused and avoid goal drift.
Validates answers that depend on current external facts, including prices, versions, policies, rankings, recommendations, documentation, and availability. Use when the user asks for current, latest, verified, fact-checked, or up-to-date answers. Coordinates recency-checker and claim-verifier subagents to produce a current, qualified final answer.
Review a resume like a professional resume writer AND an ATS (Applicant Tracking System) — produce an ATS score (0-100), a level detection (fresher / mid / senior), a breakdown of what's working, what's failing, the 7 Deadly Sins check, priority fixes, concrete before→after bullet rewrites, and missing keywords. Use this skill whenever the user asks to review, audit, critique, score, rate, roast, or improve a resume or CV, or types /resume-review, or drops a resume PDF with a job description. Trigger EVEN IF the user just says "look at my CV", "check my resume", "is this resume good", "why am I not getting interviews", "roast my resume", or shares a resume file without explicit review instructions — any interaction involving a resume file or CV should invoke this skill. Especially strong for DevOps, SRE, Cloud, Platform, and Infrastructure engineering resumes, but works for any technical resume.
This skill should be used when searching Claude Code session transcripts with semantic understanding. Triggers on queries like "find sessions about X", "when did I work on Y", "search previous conversations". Supports natural language queries with synonym matching.
Use this skill whenever the user wants to transcribe audio to text, convert speech to text, or get a transcript from an audio or video file. Triggers include: any mention of 'transcribe', 'transcription', 'speech to text', 'STT', 'convert audio to text', 'what does this audio say', 'get transcript', 'subtitle generation', or requests to extract spoken words from a file. Also use when the user wants speaker identification from audio, timestamps for captions, or multilingual transcription.
Create high-quality Markdown weekly reports, work reports, summaries, introductions, and similar documents. If there is no draft, search the web and summarize; if there is a draft, organize, polish, and supplement it. Use when the user mentions a weekly report, work report, summary, introduction, performance review, or retrospective.
ALIAS — merged into the unified `obsidian` skill (v2.0). Use the `obsidian` skill instead. Route Obsidian desktop automation: official CLI, obsidian:// URIs, developer commands. Redirects to obsidian skill for vault targeting, daily-note flows, plugin reload, URI handoff
Operate desktop applications on macOS, Windows, and Linux through native accessibility trees, using the agent-desktop CLI. Use when an AI agent must see or act on a desktop GUI: click buttons, fill forms, read UI state, navigate menus, toggle checkboxes, scroll, drag, type text, press shortcuts, take screenshots, manage windows, use the clipboard, launch or close apps, and read notifications. Triggers on: "click button", "fill form", "open app", "read UI", "computer use", "operate desktop", "accessibility tree", "snapshot app", "type into field", "navigate menu", "toggle checkbox", "take screenshot", "desktop automation", "agent-desktop", or any desktop GUI task on macOS, Windows, or Linux.
Manage daily operations for Israeli freelancers (osek murshe, osek patur) - invoice aging with collection reminders, utility bill collection via browser automation, tax deadline alerts (VAT, Bituach Leumi, mkdamot, annual report), osek patur threshold monitoring, and organized accountant packages (havila). Use when a freelancer needs help tracking invoices, preparing documents for their accountant, monitoring their osek patur revenue ceiling, or staying on top of Israeli tax filing deadlines. Prevents missed VAT filings (which trigger automatic penalties), forgotten invoice follow-ups, and disorganized handoffs to accountants. Do NOT use for VAT return preparation (use israeli-vat-reporting), e-invoice generation (use israeli-e-invoice), or payroll/employee management.
Generate an optimized shopping list from the current meal plan, grouped by store, and send it to Telegram and Discord. Triggers on: /shopping list, /shopping send, /shopping optimize [budget], “send shopping list”, “what do I need to buy”, “shopping for the week”, or after meal planning is complete.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to “open a website”, “fill out a form”, “click a button”, “take a screenshot”, “scrape data from a page”, “test this web app”, “login to a site”, “automate browser actions”, or any task requiring programmatic web interaction.
Manage DingTalk product capabilities, including AI tables, calendar, contacts, documents, bots, tasks, email, meeting notes, AI apps, approvals, logs, and DingTalk Drive. Use when users need to work with spreadsheet data, manage schedules and meetings, look up contacts, send message notifications, handle approval workflows, view meeting-note summaries, create apps, systems, admin backends, or business tools, view daily or weekly reports, or manage DingTalk Drive files.
Search and recall past AI conversations across Claude Code, Codex, Devin CLI, Grok, OpenCode, Pi, and ZCode via the `trellis mem` CLI. Use whenever the user asks to remember, find, or look up anything discussed in previous AI sessions across platforms, projects, or time. Triggers on phrases like "我之前跟 Claude/Codex 讨论过 X", "上次怎么处理 Y", "翻一下历史对话", "我们当时怎么决定 X 的", "为什么我们选了 X 而不是 Y", "find what I said about Z", "what did I discuss last week", "the rationale for choosing X", or "find the brainstorm where we picked Z over alternatives". Use even when the user doesn't say "history" or "recall"—any reference to past AI-conversation content should trigger this skill. The tool reads sessions directly from each platform's local storage; nothing is uploaded.
Product management frameworks for business cases, market analysis, strategy, prioritization, OKRs/KPIs, personas, requirements, and user research. Use when building ROI projections, competitive analysis, RICE scoring, OKR trees, user personas, PRDs, or usability testing plans.
Query browsing history from all synced devices (iPhone, Mac, iPad, desktop). Supports natural language queries for filtering by date, device, domain, and keywords. Uses LLM classification for content categories. Can output to stdout or save as markdown/JSON to Obsidian vault.
Multi-agent collaborative debate producing visible round-by-round transcripts with real intellectual friction — members are topic-briefed custom agents, run as a 3-round DEBATE or a 1-round QUICK check, to find the best path. USE WHEN council, debate, multiple perspectives, weigh options, deliberate, get different views, what would experts say, pros and cons. NOT FOR pure adversarial attack (use RedTeam).
Structured approach to workplace conflicts, performance discussions, and challenging feedback using preparation-delivery-followup framework. Use when preparing for tough conversations, addressing conflicts, giving critical feedback, or navigating sensitive workplace discussions.
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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.