智能体工作流 Skills - 智能体工作流 Agent Skills推荐与安装 - 第61页 - AI导哈

anngasserane/perso…l-skillsAnn — Convener for MEL/SRHR work. Use when Ane brings any analytical, evaluation, SRHR, or structured-output task. Ann classifies task complexity, queries the MEL Wiki, retrieves knowledge, creates an implementation plan (verifies with user for complex tasks), coordinates with Vi for execution, runs a 5-point quality gate, and delivers. General-purpose — not tied to any specific project.653 examination-readinessjoellewis/finance_skillsPrepare for and respond to SEC and FINRA regulatory examinations across the full exam lifecycle. Use when the user asks about exam notification letters, document request lists, deficiency letter responses, mock examination programs, annual compliance reviews under Rule 206(4)-7, or SEC/FINRA examination priorities. Also trigger when users mention 'we just got an exam letter', 'preparing for our first SEC exam', 'how to respond to a deficiency finding', 'staff interview preparation', 'what does OCIE look for', 'examination readiness checklist', 'sweep exam on off-channel comms', or ask what to expect during a regulatory audit.652 vigasserane/perso…l-skillsVi — HR Specialist and Execution Orchestrator for MEL/SRHR work. Receives an approved plan from Ann (or directly from Ane), designs the specialist roster, spawns specialists as subagents, reviews their outputs, compiles the final product, and returns it. General-purpose — invoked by Ann via Agent tool, or directly by Ane when a plan is already approved.652 home-assistant-esphomebradsjm/hassio-addonsESPHome + Home Assistant workflows for provisioning, adoption, entity naming, encryption keys (noise_psk / api encryption), OTA updates, and troubleshooting offline devices. Use when working with ESPHome Device Builder, the HA ESPHome integration, or when generating ESPHome YAML and validating entities in HA.652 mcp-csharp-publishdotnet/skillsPublish and deploy C# MCP servers. Covers NuGet packaging for stdio servers, Docker containerization for HTTP servers, Azure Container Apps and App Service deployment, and publishing to the official MCP Registry. USE FOR: packaging stdio MCP servers as NuGet tools, creating Dockerfiles for HTTP MCP servers, deploying to Azure Container Apps or App Service, publishing to the MCP Registry at registry.modelcontextprotocol.io, configuring server.json for MCP package metadata, setting up CI/CD for MCP server publishing. DO NOT USE FOR: publishing general NuGet libraries (not MCP-specific), general Docker guidance unrelated to MCP, creating new servers (use mcp-csharp-create), writing tests (use mcp-csharp-test).650 w-review-planblockmatic-icebox/basilic-skillsReview a plan's Goals, Assumptions, Tasks, Risks, and References.649 mcp-server-builderalirezarezvani/…e-skillsDesign and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers. Python and TypeScript support, schema validation, safe evolution. Use when exposing an existing API as an MCP server, building tool integrations for Claude or Codex or Cursor, or scaffolding an MCP project from scratch.649 commercevault-edd-commerce-orchestratorreason-machines/data-skillsMCP server for Easy Digital Downloads API integration enabling sales analytics, product management, and order orchestration649 feishu-cli-bitableriba2534/feishu-cli飞书多维表格（Bitable/Base）操作。底层使用 base/v3 新 API，支持视图完整配置写入、记录 upsert、记录批量获取、记录附件上传下载、记录修改历史、角色 CRUD + 协作者增删、多维表格本体重命名/高级权限开关、数据聚合查询、仪表盘 + 仪表盘块 CRUD、表单 + 表单问题 CRUD、工作流 CRUD 等。当用户请求"创建多维表格"、"操作数据表"、"添加记录"、"查询记录"、"管理字段"、 "多维表格"、"base"、"bitable"、"数据表"、"视图排序"、"视图过滤"、"视图分组"、 "角色"、"role"、"高级权限"、"advperm"、"数据聚合"、"data query"、 "仪表盘"、"dashboard"、"表单"、"form"、"工作流"、"workflow"、"记录附件"、 "复制多维表格"时使用。支持 --as bot|user|auto 身份切换：默认 auto（User 优先、Tenant 兜底）， --as bot 用 App Token 操作多维表格，无需 auth login、永不过期，适合 cron / 无人值守 / 脚本自动抓取多维表格内容。凡涉及"App Token 读写 bitable"、"不登录抓多维表格"、"cron 定时同步多维表格"、 "bitable 报需要 User Token / 91403 没权限"时也应使用本技能。648 capawesome-mcpcapawesome-team/skillsGuides the agent through connecting an MCP client to the hosted Capawesome MCP server, which exposes always-current Capawesome documentation search and the Capawesome Cloud management API. Covers setup for Claude Code, Claude Desktop, Cursor, and VS Code, API token creation, toolset selection, read-only mode, secret handling, verification, and troubleshooting. Do not use for installing Capacitor plugins, migrating apps or plugins to a newer version, running Capawesome CLI commands, or MCP servers other than Capawesome.648 w-planblockmatic-icebox/basilic-skillsWrite an ordered plan without changing implementation.647 w-architectureblockmatic-icebox/basilic-skillsPlan an implementation structure; durable decisions belong in ADRs and architecture docs.647 rc-plan-changesrevenuecat/ai-toolkitUse this skill when implementing subscription upgrades, downgrades, and plan switches via RevenueCat on Android. Covers GoogleProductChangeInfo, picking a Google replacement mode, and letting the SDK manage linkedPurchaseToken chaining.646 heaptrackmohitmishra786/…v-skillsheaptrack memory profiler skill for Linux. Use when tracking heap allocations, finding memory leaks, measuring peak heap usage, identifying allocation hotspots, or comparing allocation behaviour between runs. Activates on queries about heaptrack, heap profiling, memory allocation analysis, heaptrack_print, allocation hotspots, or memory leak detection with heaptrack.645 asb-carol-inciting-eventsasmartbear/asb-skillsFacilitates the fifth step of a proven ideal-customer (ICP) method: mapping inciting events — the specific trigger moments that move a perfect-fit customer from could-buy-someday to buying-today. Takes a keystones file (K1, K2, … with market segments) and, when available, customer-interview findings; walks the keystones one at a time, harvesting real trigger stories from interview evidence (marked observed) and working backward through brainstorm lenses — crises, seasonal cycles, strategic windows, personal life-changes — for the rest (marked hypothesized), recording each event with the keystone it couples to and how to find prospects in that condition, in INCITING-EVENTS.md (E1, E2, …). Load when the user has keystones and asks what makes customers buy now, what triggers a purchase, or 'run the inciting-events step.' Do NOT load to derive keystones or deal-breakers (previous steps), to write the final ideal-customer definition (next step), or to write the ads themselves.645 grill-me-thermonuclearjsolly/agent-skillsAdversarially stress-test a formed plan or design until every load-bearing assumption is defended or the plan is rejected. Use when the user asks to be grilled, pressure-tested, or invokes `grill-me-thermonuclear`. NOT for generating option spaces or collaborative ideation before a formed plan exists; use brainstorming-thermonuclear. Also not for affirmation, light polish, or executing a settled plan.644 promptifyintellectronica/agent-skillsTransform user requests into detailed, precise prompts for AI models. Use when users say "promptify", "promptify this", or explicitly request prompt engineering or improvement of their request for better AI responses.644 asb-interview-debriefasmartbear/asb-skillsFacilitates 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 section for everything heard that fit no question. Load when the user has just done a customer interview and says 'here's the transcript,' 'process my call notes,' 'file this conversation against my questions,' or 'add this interview to the record.' Do NOT load for writing goals, hypotheses, or interview questions (earlier steps), for synthesizing patterns across multiple interviews and updating hypotheses (the next step), or for summarizing meetings or transcripts unrelated to customer interviews.644 memory-lancedb-prowin4r/memory-lancedb-pro-skillComprehensive guide for maintaining, debugging, and upgrading the memory-lancedb-pro OpenClaw plugin — an enhanced LanceDB-backed long-term memory system with hybrid retrieval (Vector + BM25), cross-encoder reranking, multi-scope isolation, noise filtering, adaptive retrieval, and a management CLI. Use this skill when: (1) developing new features or fixing bugs in memory-lancedb-pro, (2) modifying the retrieval pipeline (vector search, BM25, RRF fusion, reranking, scoring stages), (3) adding or changing embedding providers, (4) updating scope/access control logic, (5) modifying agent tools or CLI commands, (6) troubleshooting memory quality issues (noise, duplicates, low recall), (7) working on the JSONL session distillation pipeline, (8) migrating data between memory backends, or (9) understanding the plugin's architecture to plan enhancements.643 account-opening-workflowjoellewis/finance_skillsDesign and operate back-office account opening pipelines from application intake through custodian submission and activation. Use when building account opening automation, reducing NIGO rejection rates from custodians or clearing firms, defining document requirements for trusts, entities, IRAs, or estate accounts, setting up multi-custodian account opening across Schwab, Fidelity, or Pershing, troubleshooting account opening failures or processing delays, or benchmarking cycle times and first-submission acceptance rates. For risk-based approval tiers and compliance screening requirements, see account-opening-compliance.643 asb-interview-goalsasmartbear/asb-skillsFacilitates the first step of a proven customer-interview method: deciding exactly what you're trying to learn, written as numbered goal questions (G1, G2, …) that your hypotheses and interview questions will later be designed to answer. Interviews the user about their business — new idea or established company, B2B or B2C — then drafts a tailored goal-question list, critiques and revises it with them, and preserves the result in a GOALS.md file. Load when the user wants to interview customers, plan customer discovery or customer development, validate a startup idea, or answer unaskable questions like what to charge, how to position, who the ideal customer is, or what to build. Do NOT load for job or hiring interviews, for writing survey questionnaires, for analyzing customer interviews that have already been conducted, or when a goal-question list already exists and the user wants the next step (hypotheses).643 pipefy-toolkit-setuppipefy/ai-toolkitGuide a first-time user through Pipefy AI toolkit setup (Cursor Marketplace plugin, hosted MCP, local install.sh, or Claude Code plugin). Use when the user asks to install Pipefy MCP, connect Claude/Cursor to Pipefy, run /pipefy:install, or set up mcp.pipefy.com. Do not use for day-to-day Pipefy workflows after MCP is already working.642 asb-interview-reportasmartbear/asb-skillsFacilitates the final step of a proven customer-interview method: distilling everything a round of interviews produced (GOALS.md, HYPOTHESES.md, QUESTIONS.md, and a directory of per-interview debriefs) into a single FINAL-REPORT.md the whole company can use. Top: a summary as brief as possible without losing salient information. Below: numbered findings (F1, F2, …) tagged validated / disproved / directional / watch / untested, every one citing debriefs and quoting customers verbatim, plus per-area briefs that marshal the evidence for ideal-customer definition, positioning, pricing, marketing & sales, and product priorities. Load when the user says 'write up what we found from the interviews,' 'summarize the interview results for the team,' or 'turn the interviews into a report.' Do NOT load for updating hypotheses from interviews (the synthesis step), for recording one conversation (the debrief step), or for actually doing the positioning, ideal-customer, or pricing work the report feeds.642 asb-interview-questionsasmartbear/asb-skillsFacilitates the third step of a proven customer-interview method: translating hypotheses into open-ended, unbiased interview questions — each a miniature experiment designed to test one hypothesis without leading the witness. Two modes: given a single hypothesis, it grills the question into shape and outputs the final question in chat; given a HYPOTHESES.md file, it iterates the whole list, grouping related hypotheses, and maintains a QUESTIONS.md file (numbered Q1, Q2, … mapped to H-numbers) as a live, resumable artifact. Load when the user has hypotheses and wants interview questions, asks how to phrase a question for customers without biasing the answer, or says 'turn my hypotheses into questions' or 'help me ask about X without leading.' Do NOT load for writing goal questions or hypotheses (earlier steps), for conducting or analyzing the interviews themselves, for survey/questionnaire design, or for job interviews.641 asb-interview-learningasmartbear/asb-skillsFacilitates 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-aim verdict on the interviewing itself. Load when the user says 'what did we learn from these interviews,' 'update my hypotheses from the interviews,' 'synthesize my interview notes,' or 'should I keep interviewing?' Do NOT load for recording a single conversation into a debrief (the previous step), for writing initial goals, hypotheses, or interview questions (earlier steps), or for deciding what to build next (comes after this method).641 asb-interview-hypothesesasmartbear/asb-skillsFacilitates the second step of a proven customer-interview method: recording the user's current best guesses — hypotheses — as numbered, falsifiable statements (H1, H2, …), each mapped to the goal questions it addresses, so interviews can confirm or contradict them instead of confirmation bias quietly filtering what's heard. Takes a GOALS.md goal-question list as input (file or pasted), elicits what the user believes goal by goal, sharpens vague beliefs into testable claims, prunes to hypotheses whose resolution would actually change what the user builds, targets, charges, or says, and preserves the result in HYPOTHESES.md. Load when the user has goal questions and wants to write hypotheses, list their assumptions, or record predictions before interviewing customers — 'I have my goals, what's next,' 'help me write down what I believe about my customers.' Do NOT load for writing the interview questions themselves, for analyzing interviews already conducted, or for statistical hypothesis testing.641 wrap-upgasserane/perso…l-skillsSession wrap-up. Use when Ane types /wrap-up to close a session. Gathers git, errors, and pending actions, delivers a concise status report, then commits and pushes pending work, and offers opt-in post-commit follow-ups (skill improvements, skill-fit signals, learning capture). Pass "report" for a read-only status with no commit. Writes a continuation handoff prompt for the next session whenever named work is still open, one file per workstream so parallel sessions cannot overwrite each other; pass "continue" to force one.639 coo-advisoralirezarezvani/…e-skillsOperations leadership for scaling companies. Process design, OKR execution, operational cadence, and scaling playbooks. Use when designing operations, setting up OKRs, building processes, scaling teams, analyzing bottlenecks, planning operational cadence, or when user mentions COO, operations, process improvement, OKRs, scaling, operational efficiency, or execution.639 jira-clicode-and-sorts/…t-agentsInteract with Jira from the command line to create, list, view, edit, and transition issues, manage sprints and epics, and perform common Jira workflows. Use when the user asks about Jira tasks, tickets, issues, sprints, or needs to manage project work items.638 migration-architectalirezarezvani/…e-skillsZero-downtime migration planning, compatibility validation, and rollback strategy generation. Tools for system, database, and infrastructure migrations with minimal business impact. Use when planning a database migration, infrastructure cutover, system replacement, or any high-risk transition that needs explicit rollback paths.638