MUST BE USED when analyzing meeting transcripts or notes. Classifies input type, attributes speakers, and verifies names against colleagues.json. Works with routing-brains and summarizing-meetings skills for complete workflow.
原文の言語: 英語
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SkillsMP は samarv/Shanon から 317 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 317 件中 40 件を表示しています。
MUST BE USED when analyzing meeting transcripts or notes. Classifies input type, attributes speakers, and verifies names against colleagues.json. Works with routing-brains and summarizing-meetings skills for complete workflow.
原文の言語: 英語
A framework for evaluating whether a product's success is mathematically possible based on its cost structure, acquisition assumptions, and unit economics. Use this when vetting a new job opportunity, evaluating a startup's viability, or determining if a…
原文の言語: 英語
A structured method for gathering high-signal, contextual feedback from a trusted network to validate ideas or navigate complex career decisions. Use this when facing a "fork in the road" career choice, prioritizing product features, or narrowing down topics…
原文の言語: 英語
Create and maintain individual colleague communication profiles in Markdown. Use when the user wants to document a person's communication style, tone preferences, decision style, sensitivities, channels, response cadence, or examples of good vs bad…
原文の言語: 英語
Gather context through high-leverage eigenquestions when information is missing or ambiguous. ACTIVATE THIS SKILL when: (1) context is missing or unclear, (2) user asks something requiring unstated assumptions, (3) working within a brain without recent…
原文の言語: 英語
Drafts concise, professional PM emails using the CRAFT method. Use when user needs to compose, draft, write, or rewrite professional email communication including follow-ups, status updates, escalations, and stakeholder messages.
原文の言語: 英語
Converts Markdown files to professional PDF documents using WeasyPrint. Use when user wants to convert markdown to PDF, export as PDF, or generate PDF from documents. Supports custom CSS styling, page headers/footers, and Autodesk brand themes.
原文の言語: 英語
Process and organize notes.md using the LNO (Leverage/Neutral/Overhead) framework for systematic task prioritization. Use when: (1) adding action items to notes.md, (2) organizing daily tasks, (3) categorizing work by ROI potential, (4) carrying forward…
原文の言語: 英語
PROACTIVELY used when user needs daily priorities or LNO classification. Generates and maintains TODO.md with Leverage/Neutral/Overhead priorities. Scans active brains and extracts actionable items dynamically.
原文の言語: 英語
PROACTIVELY used for routing meeting items to Brain CLAUDE.md files. Discovers Brains dynamically, matches items by confidence, handles unmatched content. Works with analyzing-meetings and summarizing-meetings skills.
原文の言語: 英語
Generates Slack messages in user's authentic voice: direct, concise, data-driven. Use when user needs to write, draft, compose, or rewrite Slack messages, DMs, or channel posts. Adapts style based on channel type (public vs DM) and message type.
原文の言語: 英語
MUST BE USED when generating meeting summaries after analysis and routing. Creates per-brain and overall summaries, updates CLAUDE.md files. Works with analyzing-meetings and routing-brains skills.
原文の言語: 英語
Adapt Shannon to your workflow. Use proactively when patterns emerge, or when user asks "evolve Shannon", "adapt the system", "improve Shannon", "Shannon doesn't fit my workflow", or "suggest system changes".
原文の言語: 英語
Diagnose Shannon system integrity. Use when something seems broken, on first run, or when user asks "check system health", "diagnose Shannon", "what's broken", "is Shannon set up correctly", or "run health check".
原文の言語: 英語
Download YouTube transcripts using yt-dlp. Outputs markdown with timestamps (default) or VTT. Use when extracting subtitles/captions from YouTube for analysis or reference.
原文の言語: 英語
Search and discover code context across GitHub Enterprise organizations using gh CLI. Use when needing to find code implementations, understand how functions are used, trace dependencies, or gather context about deployed/developed code across multiple…
原文の言語: 英語
Guide for creating effective custom subagents in Claude Code. Use when users want to create or update specialized AI subagents with custom system prompts, tool restrictions, and specific configurations for task delegation.
原文の言語: 英語
Use these research-backed techniques to maximize LLM performance and secure AI agents. Apply this skill when designing system prompts for AI products, troubleshooting low-accuracy outputs, or testing model vulnerabilities against prompt injection.
原文の言語: 英語
Transition from a hands-on "bricklayer" to a high-level "architect" by managing a fleet of autonomous AI agents. Use this when you need to scale engineering output with a small team, handle repetitive migrations/bug fixes, or onboard engineers to complex…
原文の言語: 英語
Build functional software prototypes and MVPs without deep technical skills by using AI agents as "developers in your pocket." Use this skill when you need to validate a new product concept, build custom back-office tools (e.g., a real estate data manager),…
原文の言語: 英語
Transition from static LLM chats to autonomous agents that execute multi-step tasks. Use this when you need to automate cross-platform reports (e.g., Snowflake to Google Docs), build self-service tools for non-technical teams, or create "anticipatory"…
原文の言語: 英語
A step-by-step framework to safely transition AI products from prototypes to autonomous agents. Use this when reliability is a major concern, when users are skeptical of AI decision-making, or when deploying LLM-based systems into high-stakes workflows.
原文の言語: 英語
Shift focus from AI hype (latest models, vector DBs, agentic frameworks) to high-leverage activities that actually improve product quality. Use this when an AI feature is underperforming, when the team is stuck in a "research loop," or when planning the…
原文の言語: 英語
A systematic workflow to move AI products beyond "vibe checks" by identifying specific failure modes and building automated LLM judges. Use this when your AI outputs feel "janky," when you need a feedback signal for prompt engineering, or when monitoring…
原文の言語: 英語
Develop "quizzes" (evals) to measure model performance on specific tasks. Use these benchmarks to guide fine-tuning, determine product UX patterns, and track performance improvements over time. Use this when launching a new AI feature, switching between model…
原文の言語: 英語
Transform an established SaaS or service business into an AI-first company. Use this when growth has plateaued, your industry is facing AI disruption, or you need to shift from seat-based to outcome-based revenue models.
原文の言語: 英語
Transition from manual code writing to high-level architectural oversight by leveraging AI tools. Use this skill when onboarding junior developers to accelerate their growth, when planning complex feature integrations, or when auditing legacy codebases for…
原文の言語: 英語
A complete end-to-end framework for non-technical product managers to build and ship software using AI coding agents. Use this when starting a side project, building a prototype, or automating internal tools without an engineering team.
原文の言語: 英語
Rapidly build, prototype, and deploy full-stack software using AI "text-to-app" tools. Use this when you need to create a greenfield application, build a high-fidelity working prototype for user testing, or bypass traditional engineering bottlenecks for…
原文の言語: 英語
A framework for transitioning from incremental SaaS development to an AI-native product strategy. Use this skill when you need to "refound" an existing product for the AI era, accelerate shipping velocity for AI features, or upskill a product team to be more…
原文の言語: 英語
Transition from traditional PRDs to "Evals" (evaluations) to guide AI model behavior. Use this skill when launching new AI features, debugging unpredictable model outputs, or moving from a prompted prototype to a production-ready agent.
原文の言語: 英語
Strategy and tactics for evolving from a generalist PM to an AI PM. Use this skill when identifying if a problem requires an AI solution, collaborating with research scientists, or using generative AI to augment your core PM deliverables.
原文の言語: 英語
A framework to assess and integrate AI into your product strategy by mapping core customer problems to AI capabilities. Use this when your industry is facing a major technology shift, when prioritizing an AI roadmap, or when deciding between augmenting…
原文の言語: 英語
A framework for balancing outsized performance (Alpha) with system reliability (Beta) through strategic process design. Use it when deciding how much process to add to a team, evaluating a new hire's fit for a specific project, or standardizing product…
原文の言語: 英語
A framework for measuring product velocity and output quality using standardized stage-gates (P-strat to P2) and binary quality triage. Use this when you need to identify team bottlenecks, align cross-functional teams (Analytics, Marketing, Product,…
原文の言語: 英語
Strategies for getting products and content cited within LLM responses (ChatGPT, Perplexity, Claude). Use this when launching a new product, seeing referral traffic from AI agents, or trying to capture high-intent users who have moved from Google search to…
原文の言語: 英語
A three-step framework (Articulate, Ask, Accept) to overcome career stagnation and interpersonal conflict by expressing needs with integrity. Use this when you feel stuck in your career, are avoiding a difficult conversation with a stakeholder, or need to…
原文の言語: 英語
Systematize customer discovery by automating the sourcing and scheduling of research calls. Use this when you are starting a new discovery phase, feel disconnected from "raw" customer material, or need a steady stream of interviews without manual sourcing.
原文の言語: 英語
A framework for determining when to create a new software category versus winning an existing one, and the tactical steps to define and validate that category. Use this when your product is too disruptive for current labels, when existing categories have…
原文の言語: 英語
A framework to evaluate the market potential and strategic direction of B2B products based on workflow frequency and organizational breadth. Use it when validating a new startup idea, evaluating a product's "ceiling," or planning a pivot to increase market…
原文の言語: 英語