Productivity

672 skills.

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obsidian-markdownagricidanielExplain, draft, or validate Obsidian Flavored Markdown syntax: properties, wikilinks, embeds, callouts, tags, comments, highlights, block references, math, and Mermaid. Use when the user explicitly requests Obsidian note formatting or syntax help, not for general Markdown or broad vault operations.saveagricidanielSave a user-selected answer, decision, insight, or session summary into an Obsidian vault as one reviewed transaction. Use only when the user explicitly asks to preserve specific conversation content, not when they supply a file or URL to ingest. Triggers: /save, save this, save that answer, file this conversation, save this analysis, keep this insight, preserve this chat result.wikiagricidanielInitialize, adopt, and route work for a separate Obsidian knowledge vault through the portable claude-obsidian core. Use for vault setup, scaffolding, workspace selection, cross-project configuration, or choosing the correct wiki sub-skill. Triggers: /wiki, set up wiki, scaffold vault, create knowledge base, adopt this vault, Obsidian vault, second brain setup, persistent wiki.wiki-ingestagricidanielIngest supplied source material into an Obsidian vault with provenance and claim tracking: pasted text, files staged in the selected vault's inbox or .raw archive, or explicitly approved URLs. Use for a single source or bounded batch, not for saving an assistant answer. Triggers: ingest, ingest this file, ingest this URL, process this source, read and file this source, batch ingest, ingest these sources.wiki-lintagricidanielRun a deterministic, read-only health check on an Obsidian wiki. Use for lint, vault health check, audit wiki health, find orphans, find dead links, frontmatter audit, provenance audit, or wiki audit. Reports graph, link, frontmatter, provenance-ledger, empty-section, and stale-index findings; it does not reason broadly or repair files.wiki-queryagricidanielAnswer an explicitly vault-scoped question from an Obsidian wiki without changing it. Use when the user selects the vault as the evidence source: query the wiki, query quick, query deep, explain from the wiki, summarize the vault, find in wiki, search the wiki, or based on the wiki. Do not route ordinary general-knowledge questions here.resume-managerailabs-393This skill should be used whenever users need help with resume creation, updating professional profiles, tracking career experiences, managing projects portfolio, or generating tailored resumes for job applications. On first use, extracts data from user's existing resume and maintains a structured database of experiences, projects, education, and skills. Generates professionally styled one-page PDF resumes customized for specific job roles by selecting only the most relevant information from the agile-sprint-planningaj-geddesPlan and execute effective sprints using Agile methodologies. Define sprint goals, estimate user stories, manage sprint backlog, and facilitate daily standups to maximize team productivity and deliver value incrementally.retrospective-facilitationaj-geddesFacilitate effective retrospectives to capture lessons learned, celebrate successes, and identify actionable improvements for future iterations.huashu-speech-coachalchaincyf演讲与分享教练。基于Patrick Winston（MIT AI教授）的How to Speak方法论，帮助准备线下培训、技术分享、B站教程视频等演讲场景。当用户提到"演讲"、"分享"、"培训"、"讲课"、"PPT演讲"、"开场"、"结尾"、"如何讲"、"演讲结构"时使用此技能。huashu-weread-advisoralchaincyf微信读书高阶顾问。在底层 weread skill 的原子 API 之上，提供四类工作流：基于已读做个性化进阶推荐（advisor）、给方向规划入门到前沿的阶梯书单（path）、把零散划线想法提炼成读书笔记总结（alchemy）、做季度/年度阅读复盘并生成可发朋友圈/公众号的文章（review）。核心方法是「书架 + 笔记交叉分析」——书架揭示用户主动分类的兴趣，笔记数据揭示「真读过的」vs「只放着的」。当用户说「推荐书」「下一本读啥」「该读什么」「想搞懂 X 这个领域」「整理我的笔记」「这本书我记住了啥」「我今年读了什么」「读书复盘」「年度盘点」时触发。即使用户只是说「不知道读啥」「有没有相关的书」「帮我看看这本读完了吗」「这个领域我入门了吗」也应触发。atlassian-templatesalirezarezvaniAtlassian Template and Files Creator/Modifier expert for creating, modifying, and managing Jira and Confluence templates, blueprints, custom layouts, reusable components, and standardized content structures. Use when building org-wide templates, custom blueprints, page layouts, and automated content generation.decision-loggeralirezarezvaniTwo-layer memory architecture for board meeting decisions. Manages raw transcripts (Layer 1) and approved decisions (Layer 2). Use when logging decisions after a board meeting, reviewing past decisions with /cs:decisions, or checking overdue action items with /cs:review. Invoked automatically by the board-meeting skill after Phase 5 founder approval.google-workspace-clialirezarezvaniGoogle Workspace administration via the gws CLI (github.com/googleworkspace/cli). Install, authenticate, and automate Gmail, Drive, Sheets, Calendar, Docs, Chat, and Tasks. Run security audits and use local recipe templates and persona bundles. Use for Google Workspace admin, gws CLI setup, Gmail automation, Drive management, or Calendar scheduling.grill-mealirezarezvaniInterview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".inbox-triagealirezarezvaniRuns a full inbox triage using the knowledge base created by the 'inbox-setup' skill. Light-intake by design (most invocations skip questions and run with KB-default preferences); asks at most 2 grill-me override questions when invocation is outside normal cadence or includes category-skip intent. Searches recent emails, classifies them via the user's taxonomy, researches new senders, generates recommendations, drafts replies (NEVER sends), delivers a report in the user's preferred format, and u llm-wikialirezarezvaniUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by meeting-analyzeralirezarezvaniAnalyzes meeting transcripts and recordings to surface behavioral patterns, communication anti-patterns, and actionable coaching feedback. Use this skill whenever the user uploads or points to meeting transcripts (.txt, .md, .vtt, .srt, .docx), asks about their communication habits, wants feedback on how they run meetings, requests speaking ratio analysis, mentions filler words or conflict avoidance, or wants to compare their communication across time periods. Also trigger when users mention too plan-harderam-willUse when user specfically says 'plan harder'.planneram-willCreate comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: "make a plan", "create a plan", "plan this out", "plan the implementation", "help me plan", "design a plan", "draft a plan", "write a plan", "outline the steps", "break this down into tasks", "what's the plan for", or any similar planning request. Also triggers on explicit "/planner" or "/plan" commands.groove-daily-endandreadellacorteEnd the workday: write memory, analyse tasks, run end hook. Use when wrapping up the day.groove-daily-startandreadellacorteStart the workday: review yesterday, create today's daily memory, load tasks, prepare agenda. Use when beginning the day.groove-groovebook-publishandreadellacortePublish a workflow learning to the groovebook shared commons as a GitHub PR. Use after groove-work-compound when a learning is worth sharing.groove-utilities-memory-log-dailyandreadellacorteWrite the daily memory log entry. Use at end of day to record what happened.groove-utilities-memory-log-monthlyandreadellacorteRoll up the monthly memory log from weekly entries.groove-utilities-memory-log-weeklyandreadellacorteRoll up the weekly memory log from daily entries.groove-utilities-memory-retrospectiveandreadellacorteAnalyse workflow trends: session ratings, recurring mistakes, and learnings over a period. Use for weekly or monthly reflection.groove-utilities-task-analyseandreadellacorteAnalyse task status and distribution across the configured backend.groove-utilities-task-archiveandreadellacorteArchive a completed task in the configured backend.groove-utilities-task-configandreadellacorteConfigure task backend settings interactively.groove-utilities-task-createandreadellacorteCreate a new task in the configured backend.groove-utilities-task-listandreadellacorteList active tasks in the configured backend. Use to see current task status.groove-utilities-task-updateandreadellacorteUpdate an existing task in the configured backend.groove-work-brainstormandreadellacorteClarify scope through dialogue, surface key decisions and open questions. Use before planning.groove-work-execandreadellacorteExecute the implementation plan, track progress in the task backend. Use after planning.groove-work-planandreadellacorteResearch codebase, write concrete implementation plan. Use after brainstorming.cold-call-prepanthropicsPrep for a cold-call — predict the professor's likely questions and drill them Socratically, flagging where you're shaky so you know what to re-read before class. Use when the user says "prep for class tomorrow", "cold call [case]", "what might [professor] ask on", or points at assigned reading.flashcardsanthropicsGenerate or drill flashcards for black-letter memorization — Leitner-style buckets, per-subject markdown storage, drill mode with self-assessment. Use when the user says "drill flashcards", "make flashcards from", "quiz me on cards", or wants to memorize rules.socratic-drillanthropicsSocratic drilling — it asks, you answer, it pushes back. Does NOT give you the answer until you've earned it. Use when the user says "drill me on", "quiz me", "socratic", "test me on [subject]", or wants to study actively.pi-history-ingestar9avIngest Pi coding agent session history into the Obsidian wiki. Use this skill when the user wants to mine their past Pi sessions for knowledge, import their ~/.pi/agent/sessions folder, extract insights from previous coding sessions, or says things like "process my Pi history", "add my Pi sessions to the wiki", "ingest ~/.pi", or "what have I worked on in Pi". Also triggers when the user mentions Pi sessions, Pi agent history, ~/.pi/agent/sessions, or Pi conversation logs.wiki-importar9avImport a wiki knowledge graph into the current vault — either from a graph.json export file (stubs) or from an OKF (Open Knowledge Format) markdown bundle (full page bodies). Use this skill when the user says "import wiki", "import from export", "load graph.json", "import vault", "import OKF bundle", "import OKF", "load OKF", "import markdown bundle", "/wiki-import", or wants to transfer pages from one vault to another using the output of wiki-export.asb-interview-debriefasmartbearFacilitates the learning step of a proven customer-interview method — the recording half: turning raw material from ONE customer conversation (transcript, notes, memory dump) into a brief per-person debrief file, mapped against the numbered interview-question list (Q1, Q2, … with H-number tags). One concise answer per question actually asked, key phrases kept verbatim, unasked questions honestly skipped, a one-line commentary only where in-the-moment context helps later analysis, and an addenda asb-interview-learningasmartbearFacilitates the learning step of a proven customer-interview method — the synthesis half: reads a directory of per-interview debrief files against the working HYPOTHESES.md and QUESTIONS.md and proposes evidence-cited updates ONE at a time — double down, tune numbers, mark disproved, park heard-once observations in a 'That's funny' watch section, add new hypotheses with new questions — applying each agreed change directly to the files with a change log, and ending with a stop-or-continue-or-re-a asb-who-measmartbearInterrogates the user to discover who they actually are — what drives them, what drains them, and the natural strengths they can't see because they come so easily — using proven self-discovery prompts (even-as-a-kid, lost-in-the-work, pit-of-my-stomach dread), the anti-questions, and outside-in questions given as homework to people who know them (perfect scenario, personal hell, invisible strengths). Presses every self-flattering label into concrete episodes, welcomes socially unacceptable motiv figure-it-outbacknotpropDesign an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scales rigor to the task, runs a hypothesis loop, and logs decisions via show-me-your-work. Use for /figure-it-out, 'figure it out', a large migration, or when no narrower playbook applies.memory-ingestbasicmachines-coProcess unstructured external input (meeting transcripts, conversation logs, pasted documents) into structured Basic Memory entities. Extracts entities, searches for existing matches, proposes new entities with approval, creates notes with observations and relations, and captures action items.memory-metadata-searchbasicmachines-coStructured metadata search for Basic Memory: query notes by custom frontmatter fields using equality, range, array, and nested filters. Use when finding notes by status, priority, confidence, or any custom YAML field rather than free-text content.memory-notesbasicmachines-coHow to write well-structured Basic Memory notes: frontmatter, observations with semantic categories, relations with wiki-links, and best practices for building a rich knowledge graph. Use when creating or improving notes.memory-tasksbasicmachines-coTask management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform notes queryable through the knowledge graph.memory-curatebasicmachines-coCurate the Basic Memory knowledge graph: find orphan notes and suggest links, propose typed relations, merge duplicates, audit tags and folders, and build hub notes. Use to organize, connect, and improve a knowledge base as notes accumulate.