Design a new PM skill through guided conversation. Use when you have raw content or an idea and want to shape it into a compliant skill.

Purpose Walk through the full skill design process interactively — from raw idea or content to a structured, repo compliant SKILL.md draft. Asks adaptive questions to determine skill type, scope, structure, and content, then generates a ready to validate draft. This skill is the conversational complement to skill authoring workflow . That skill defines the process and validation gates. This one sits with you and figures out what to build before you build it. Input Bring the seed for the skill you want to design — half formed is fine; shaping it is this skill's job: Works best with: the idea, framework, or raw content (notes, prompt sequence, article) the skill should capture Also useful: the skill type you suspect it is, who it's for, and any existing skills it should relate to If you supply this inline with your request (e.g., "help me design a skill from my pricing tiers framework"), the conversation uses that as the answer to Q1 and moves on — it won't re ask. With no input, it opens by asking what you want the skill to help someone do. Example: Use pm skill creator: I have a decision tree for choosing north star metrics — help me shape it into a skill. Key Concepts When to Use This vs. Other Authoring Tools Tool Best When This skill (skill creator) You have an idea or raw content and need help shaping it into the right structure through conversation skill authoring workflow You already know what to build and need the process checklist and validation steps scripts/build a skill.sh You know the structure and want a terminal wizard to collect sections scripts/add a skill.sh You have a source document and want AI assisted generation end to end The Three Skill Types (Decision Criteria) Component : One artifact or template. Self contained. Gets referenced by other skills. Ask: "Is this a thing someone creates?" Interactive : Guided conversation with adaptive questions and enumerated recommendations. Ask: "Does this require back and forth to be useful?" Workflow : Multi phase orchestration referencing other skills. Ask: "Does this coordinate multiple activities across steps?" Skill Anatomy (Non Negotiable Sections) Every skill requires these sections in order: 1. Purpose — What it does + when to use it (outcome focused) 2. Input — What the user can bring (subject, optional context), an example invocation, and the rule that inline input counts as answers already given. Must read as an invitation: zero input is fine, the guided flow covers it. Plain language only — no runtime template syntax like $ARGUMENTS 3. Key Concepts — Frameworks, definitions, mental models 4. Application — Step by step instructions an agent can follow 5. Examples — At least one concrete, specific example 6. Common Pitfalls — Named failure modes with consequences and fixes 7. References — Related skills, external frameworks, source material Metadata Constraints name : lowercase kebab case, ≤ 64 characters description : ≤ 200 characters, must include trigger cue ("Use when...") intent : longer repo facing summary (no character limit) type : one of component , interactive , workflow Facilitation Source of Truth Use [ workshop facilitation ](../workshop facilitation/SKILL.md) as the default interaction protocol for this skill. It defines: Session heads up + entry mode (Guided, Context dump, Best guess) One question turns with plain language prompts Progress labels (e.g., Context Q1/5) Interruption handling and pause/resume behavior Numbered recommendations at decision points Quick select numbered response options (include Other (specify) when useful) This file defines the domain specific content. If there is a conflict, follow this file's domain logic. Application This interactive skill asks up to 5 adaptive questions , then delivers a complete SKILL.md draft with frontmatter, all required sections, and repo compliant structure. Step 0: Session Start Agent says: "I'll help you design a new PM skill from scratch. This takes about 10 15 minutes and up to 5 questions. How do you want to start? 1. Guided — I'll ask questions one at a time and build the skill from your answers (recommended) 2. Context dump — Paste your raw content, notes, or framework and I'll propose a skill structure 3. Best guess — Tell me just the topic and I'll draft a skill you can refine" Question 1: What's the Raw Material? (Q1/5) Agent asks: "What are we turning into a skill? Give me whatever you have." 1. A framework or mental model — A structured way of thinking about a PM problem (e.g., prioritization matrix, decision tree) 2. A template or artifact — A deliverable PMs create (e.g., PRD section, positioning statement, epic format) 3. A process or workflow — A multi step method for completing a PM task (e.g., discovery sprint, roadmap planning) 4. A coaching or advisory topic — A domain where PMs need guided, adaptive help (e.g., stakeholder navigation, pricing decisions) Or describe what you have in your own words. Agent note: If the user pastes raw content instead of choosing an option, analyze the content and infer the answer. Confirm your interpretation before proceeding. Question 2: Skill Type Decision (Q2/5) Based on Q1 answer, agent recommends a type and confirms: If Q1 = Framework or Template: "This sounds like a component skill — a self contained artifact or reference. It would include a template, quality criteria, and examples. Does that fit, or is there a conversational/adaptive element I'm missing? 1. Yes, component — It's a standalone deliverable or reference 2. Actually, it needs conversation — Users need guided questions to use it well (→ interactive) 3. It's bigger than one artifact — It orchestrates multiple steps or other skills (→ workflow)" If Q1 = Process or Workflow: "This sounds like a workflow skill — a multi phase process. Does it reference or orchestrate other discrete skills/artifacts, or is it more of a guided conversation? 1. Yes, workflow — It has distinct phases and may reference other skills 2. It's more conversational — The value comes from adaptive questions and recommendations (→ interactive) 3. It's simpler than I described — Really it's one artifact with steps (→ component)" If Q1 = Coaching or Advisory: "This sounds like an interactive skill — guided questions that adapt based on answers, ending with enumerated recommendations. Sound right? 1. Yes, interactive — It needs back and forth to be useful 2. It's more of a reference — Users just need the framework, not a conversation (→ component) 3. It's a full process — Multiple phases, orchestrates other skills (→ workflow)" Question 3: Scope and Naming (Q3/5) Agent asks: "What should we call this skill? I need two things: a) A working name — lowercase kebab case, max 64 characters (e.g., feature investment advisor , user story , discovery process ) b) A one sentence description — What it does + when to use it. Must fit in 200 characters and start with a verb or 'Use when...' Give me your best attempt and I'll tighten it if needed. Or just describe the skill's purpose and I'll propose both." Agent note: Validate the name format (kebab case, ≤ 64 chars) and description length (≤ 200 chars) before proceeding. If either fails, suggest a fix. Question 4: Key Content (Q4/5) This question adapts based on skill type from Q2: For component skills: "What are the core elements of this artifact or framework? I need: 1. The template or structure — What sections/fields does it contain? 2. Quality criteria — What separates a good one from a bad one? 3. One concrete example — A filled in version showing it done well; optimally ask for (or generate) a second from a different business domain — one SaaS, one industrial/non SaaS — so the skill doesn't quietly teach "this only works in SaaS." Use the repo's fictional universes and name the second file by domain ( sample industrial.md ); all example companies must be fictional Give me whatever you have — bullet points, rough notes, or a full draft." For interactive skills: "Walk me through the conversation flow: 1. What's the opening question? — What does the user need to tell you first? 2. What are the 2 4 branching paths? — How do answers change what comes next? 3. What recommendations emerge? — What are the 3 5 outcomes you'd offer? Give me the decision tree as you see it — even if it's rough." For workflow skills: "Map out the phases: 1. What are the major steps? (Usually 3 6 phases) 2. What's the input and output of each phase? 3. Which existing skills does this reference? (Check with scripts/find a skill.sh keyword <topic ) 4. Where are the decision points? Give me the flow — sequential, branching, or both." Question 5: Pitfalls and Edge Cases (Q5/5) Agent asks: "What goes wrong when people do this badly? I need 2 3 failure modes: 1. Name the failure — Give it a label (e.g., 'Metrics Theater', 'Hero Syndrome') 2. Describe the consequence — What happens when someone falls into this trap? 3. State the fix — What's the corrective action? If you're not sure, tell me the most common mistake you've seen and I'll help structure it." Draft Generation After collecting answers to Q1 Q5, the agent generates a complete SKILL.md draft including: 1. YAML frontmatter — name , description , intent , type , best for , scenarios , estimated time 2. Purpose — Synthesized from Q1 + Q3 3. Input — Derived from Q2/Q3: what the user provides, an example invocation, and the inline input rule (use what's supplied, don't re ask) 4. Key Concepts — Structured from Q4 content 5. Application — Step by step instructions derived from Q4 6. Examples — Concrete example from Q4 (or generated if not provided); dual domain (SaaS + industrial) is the quality bar for full adornment 7. Common Pitfalls — Structured from Q5 8. References — Related skills identified during conversation + source material Agent says after generating: "Here's your draft SKILL.md. Before we call it done: 1. Review the draft — Does it capture your intent? 2. Run validation — python3 scripts/check skill metadata.py skills/<name /SKILL.md 3. Check triggers — python3 scripts/check skill triggers.py skills/<name /SKILL.md show cases 4. Smoke test — ./scripts/test a skill.sh skill <name smoke Want me to adjust anything, or are you ready to validate?" Examples Example: Framework → Component Skill Q1: "1 — A framework. It's a 2x2 matrix for evaluating build vs buy decisions." Q2: "1 — Yes, component." Q3: "Name: build vs buy matrix . Description: 'Evaluate build vs buy decisions using a 2x2 matrix of strategic value and implementation complexity. Use when choosing between building internally and buying a solution.'" Q4: "The axes are strategic differentiation (low/high) and implementation complexity (low/high). Four quadrants: Buy (low/low), Partner (low/high), Build (high/low), Invest (high/high). Quality criteria: each quadrant has a clear decision rule and one example." Q5: "Biggest mistake: treating it as a one time decision. Consequence: you build something, market shifts, and you're stuck maintaining undifferentiated tech. Fix: revisit quarterly." Output: Complete component skill with template, filled example, and the quarterly review pitfall. Example: Advisory Topic → Interactive Skill Q1: "4 — Coaching topic. Helping PMs navigate their first pricing conversation with leadership." Q2: "1 — Yes, interactive." Q3: "Name: pricing conversation advisor . Description: 'Prepare for your first pricing conversation with leadership. Use when presenting pricing changes or new monetization to executives.'" Q4: "Opening question: What's the pricing change? Branches: new product pr

pm-skill-creator