智能体工作流 Skills - 智能体工作流 Agent Skills推荐与安装 - 第36页 - AI导哈

day2-supplement-mcpai-native-camp/camp-1Day 2 보충 자료 - MCP 딥다이브. Claude Code에 외부 도구를 연결하는 MCP를 체계적으로 배운다. "MCP 배우기", "MCP 보충", "MCP 강의", "MCP 학습" 요청에 사용.1640 build-mvpbuildgreatproducts/builder-osUse inside a product repository when the user wants the full MVP built from their BuilderOS spec documents. Triggers on phrases like "build my MVP", "build the app", "execute the roadmap", "start the build", "work through the whole roadmap", "build everything", or any request to implement the entire plan rather than a single task or phase. Requires `docs/prd.md` and `docs/product-roadmap.md` (plus `docs/product-vision.md` and `docs/design.md` for context). Works through every roadmap task in order — implementing, testing, and verifying each before moving on, marking checkboxes and updating the status line — and runs until all tasks are complete and the magic moment works end to end, then initializes git with an initial commit and offers to connect a remote repo.1638 planning-under-uncertaintyrefoundai/lenny-skillsHelp users plan products and strategy when outcomes are unpredictable. Use when someone is dealing with ambiguous timelines, building in fast-moving markets, planning AI/ML projects, or asking how to make commitments when they don't know what will happen.1636 conducting-interviewsrefoundai/lenny-skillsHelp users conduct effective hiring interviews. Use when someone is designing an interview loop, crafting interview questions, evaluating candidates in real-time, or building a structured interview process.1636 bigquery-optimizationgoogle/skillsProvides workflows to optimize BigQuery environments (capacity planning, editions), storage assets (partitioning, clustering, storage lifecycles, billing models), and SQL queries. Use when optimizing cost, modeling Edition migrations, rightsizing reservations, evaluating logical vs. physical storage, designing table partitioning/clustering, generating table DDL, migrating unpartitioned tables, managing partition expiration, optimizing individual SQL queries, or evaluating acceleration structures (search indexes, materialized views, BI Engine). Do not use for raw usage reporting (use bigquery-observability), query execution plan analysis, error troubleshooting, or diagnosing why a specific job was slow (use bigquery-troubleshooting).1636 prompt-engineersickn33/agentic…e-skillsTransforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW)1632 bigquery-troubleshootinggoogle/skillsProvides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system performance issues, or unexpectedly expensive workloads. Use when interpreting symptoms, isolating bottlenecks, diagnosing cost spikes (on-demand query spend, capacity slot autoscaling, storage growth), execution graph stages or substep variables, identifying root causes, and determining remediation steps. Don't use for writing or optimizing SQL, proactive capacity planning, or storage layout design (use bigquery-optimization), or when the user already knows which telemetry they want and just needs the query (use bigquery-observability).1627 tao-list-capabilitiesnvidia/skillsAnswer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests. Use when the user asks "what can TAO Skill Bank do", "list TAO models", "which TAO workflows are available", or "what supports AutoML".1623 qwencloud-model-selectorqwencloud/qwencloud-aiRecommend the best Qwen model and parameters. TRIGGER when: choosing between Qwen models, comparing Qwen model pricing, understanding Qwen model capabilities, asking which models are available on Token Plan, viewing cost history, when an execution skill needs model selection advice, or user explicitly invokes this skill by name (e.g. use qwencloud-model-selector). DO NOT TRIGGER when: non-Qwen model discussions (OpenAI, Gemini, etc.), general AI questions unrelated to Qwen.1620 extractalirezarezvani/…e-skillsTurn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples. Use when the user runs /si:extract or asks to package a recurring solution from memory into a skill.1615 working-backwardsrefoundai/lenny-skillsHelp users apply the working backwards methodology. Use when someone is defining a new product, writing a PR/FAQ, planning from a future state, or trying to clarify a product's value proposition before building.1613 analyze-and-planadobe/skillsUse this when you need to define acceptance criteria, write requirements, scope work, or create a definition of done for AEM Edge Delivery Services (EDS) tasks such as new blocks, variants, behavior modifications, CSS-only changes, or bug fixes. Covers analyzing development requirements, producing task breakdowns, identifying edge cases, and documenting the analysis.1612 tao-train-grounding-dinonvidia/skillsGrounding DINO for open-set object detection. Combines DINO-style detection with a BERT text encoder for language-guided detection — detects objects described by text prompts without a fixed class vocabulary. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Grounding DINO model. Trigger phrases include "train Grounding DINO", "open-vocabulary detection", "text-prompted detector", "language-guided object detection".1607 managing-timelinesrefoundai/lenny-skillsHelp users set and hit realistic deadlines. Use when someone is planning project timelines, struggling to hit deadlines, dealing with timeline pressure from stakeholders, or trying to improve estimation accuracy.1602 tao-analyze-gaps-vlm-bcqnvidia/skillsExtract false-positive and false-negative gaps from VLM binary-classification-question (BCQ, yes/no) predictions. Use when the user asks to "analyze VLM BCQ gaps", "extract VLM false positives and false negatives", or identify failure cases from a predictions JSON for DEFT root-cause analysis on a binary-classification VLM workflow.1601 promotealirezarezvani/…e-skillsGraduate a proven pattern from auto-memory (MEMORY.md) to CLAUDE.md or .claude/rules/ for permanent enforcement. Use when the user runs /si:promote or asks to make a learned behavior permanent.1599 tao-run-on-brevnvidia/skillsRun a TAO training/evaluation/inference container on an NVIDIA Brev GPU instance. Instance provisioning (create/search/stop/delete/login) is delegated to the official brev-cli agent skill or the Brev MCP server; this skill covers only the TAO-specific part — running the container over `brev exec` via the four-verb docker contract. Trigger phrases include "run on Brev", "Brev GPU instance", "TAO on Brev", "submit job to Brev".1598 gtm-enterprise-account-planninggithub/awesome-copilotStrategic account planning and execution for enterprise deals. Use when planning complex sales cycles, managing multiple stakeholders, applying MEDDICC qualification, tracking deal health, or building mutual action plans. Includes the "stale MAP equals dead deal" pattern.1598 paper-assemblylingzhi227/agen…h-skillsOrchestrate the full paper pipeline end-to-end. Manage state propagation between phases (literature → plan → code → experiments → figures → tables → writing → review), support checkpointing and resumption. Use for assembling a complete paper from components.1598 adk-dev-consolebotpress/skillsExplains the ADK Dev Console — what each tab shows, how to read Agent Steps, traces, multi-agent dashboard, agent switching, console modes, and other UI features visible at localhost:3001 during adk dev1597 tao-train-single-stepnvidia/skillsStandard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a dataset without iterative data augmentation, AutoML, or DEFT loops. Trigger phrases include "single train run", "train then evaluate then export", "plain TAO training", "normal training", "no AutoML", "skip the loop". Routes through the per-model SKILL.md for action specifics and through `tao-launch-workflow` for platform/credentials/dataset intake.1591 tao-run-automl-deft-pipelinenvidia/skillsRun the canonical NVIDIA AOI three-phase training pipeline — Phase 1 AutoML baseline (HPO), Phase 2 DEFT loop (RCA → SDG → mining → plain-train retrain), Phase 3 AutoML refinement on the DEFT-augmented dataset. Use when the user asks to "run the AOI workflow", "fine-tune my PCB AOI model end-to-end", "improve my AOI ChangeNet model", or "AOI workflow with AutoML" request — route here instead of tao-run-deft-aoi directly unless the user explicitly asks for the DEFT loop ONLY (e.g. "run JUST the DEFT loop", "skip AutoML, only DEFT"). Also handles the same three-phase pattern for non-AOI DEFT applications — AutoML baseline then DEFT loop warm-started from AutoML's winning HPs then post-DEFT AutoML refinement on the iteration-augmented dataset. Trigger phrases include "run the AOI workflow", "AOI end-to-end", "AutoML + DEFT", "AutoML then DEFT", "tune hyperparameters then DEFT", "DEFT with AutoML at both ends", "warm-start DEFT", "improve my AOI model".1591 release-managementrecoupable/rele…nagementManage music releases using RELEASE.md documents stored in releases/{release-slug}/ within an artist workspace. Triggers when the user mentions an artist's album, EP, single, or project — or asks about release planning, DSP pitches, metadata, marketing, press materials, physical production, or tour coordination. First infer which artist and release the user means, then find or create the RELEASE.md. Use this skill to create, update, or pull data from release documents, and to generate deliverables like DSP pitches, press one-sheets, and production specs.1588 shipping-productsrefoundai/lenny-skillsHelp users ship products faster and with higher quality. Use when someone is planning a launch, struggling to release features, dealing with shipping velocity issues, or trying to establish better release practices.1587 project-healthjezweb/claude-skillsAll-in-one project configuration and health management. Sets up new projects (settings.local.json, CLAUDE.md, .gitignore), audits existing projects (permissions, context quality, MCP coverage, leaked secrets, stale docs), tidies accumulated cruft, captures session learnings, and adds permission presets. Uses sub-agents for heavy analysis to keep main context clean. Trigger with 'project health', 'check project', 'setup project', 'kickoff', 'bootstrap', 'tidy permissions', 'clean settings', 'capture learnings', 'audit context', 'add python permissions', or 'init project'.1587 tao-train-mask-grounding-dinonvidia/skillsMask Grounding DINO for grounded instance segmentation. Extends Grounding DINO with a mask-prediction head for open-set segmentation guided by text prompts. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Mask-Grounding-DINO model. Trigger phrases include "train Mask Grounding DINO", "open-vocabulary segmentation", "text-prompted instance segmentation", "grounded mask DETR".1586 ai-slop-cleaneryeachan-heo/oh-…audecodeClean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode1585 managing-tech-debtrefoundai/lenny-skillsHelp users manage technical debt strategically. Use when someone is dealing with legacy code, planning refactoring work, deciding between rewrites vs. incremental fixes, trying to get buy-in for tech debt reduction, or balancing new features with maintenance.1570 mantis-plangoogle/mantisFormulates a targeted defensive security reviewing plan based on the active threat model and historical learnings. Use when starting a security review campaign to map the codebase boundaries and generate a roadmap (workspace/plan.json). Don't use for executing code reviews, writing test scripts, or patching code.1570 mantis-researchergoogle/mantisAudits production source code files based on the strategy in workspace/plan.json. Use when a review plan exists and you need to perform static analysis and deep-dive reviews of targeted files. Don't use for planning, deduplicating, or writing patches.1564