product-on-purpose

Run applicable prioritization frameworks (RICE, ICE, MoSCoW, Weighted Scoring, Kano) against a list of features or initiatives. Produces a comparison table showing where rankings agree and diverge across frameworks, and an executive summary with recommendation. Framework applicability is filtered by data availability; Kano requires customer research. Refuses to fabricate scores; produces an estimation scaffold when input data is missing.

Synthesizes user research interviews into actionable insights, patterns, and recommendations. Use after conducting user interviews, customer calls, or usability sessions to extract and communicate findings across participants. Distinct from foundation-meeting-recap, which summarizes one internal meeting for its attendees; this skill aggregates research conversations into evidence-backed findings.

Maps a customer journey across stages, touchpoints, emotional curve, pain points, and moments of truth into a markdown artifact with an optional mermaid timeline or flowchart. Use when synthesizing existing research into the shape of a customer's experience, end-to-end or for one phase. Without research signal yet, run discover-interview-synthesis or measure-survey-analysis first; refuses to fabricate emotional or behavioral data.

Estimate market opportunity (TAM, SAM, SOM) using multiple sizing frameworks (top-down, bottom-up, comparable company, analogous market). Triangulates across frameworks, highlights where they converge and diverge as signal, and produces a calibrated range with source-graded confidence labels. Refuses unbounded fabrications; always offers a labeled lower-confidence path when data is thin. Used for investment cases, go/no-go decisions, and stakeholder pitches.

Produces a one-page lean canvas across nine interlocking blocks (problem, customer, UVP, solution, channels, revenue, cost, metrics, unfair advantage) with optional inline HTML and SVG visual rendering. Use when framing a new product thesis, stress-testing an existing strategy, comparing strategic options side-by-side, or aligning a team on business-model assumptions. Works as a strategic hub that cross-links to deeper PM skills without duplicating them.

Produces an attendee-facing agenda that sets what will be discussed, who owns each topic, and how time will be spent. Supports ten meeting type variants (standup, planning, review, decision-making, brainstorm, 1-on-1, stakeholder-review, project-kickoff, working-session, exec-briefing). Emits a shareable summary suitable for Slack or email plus a full agenda with time-boxed topics, type tags, owners, attendee prep, and logistics.

Produces a private strategic preparation document for the user before a meeting that matters. Captures stakes, stakeholder positions and reads, ranked desired outcomes, key messages, anticipated questions with prepared responses, risks and tensions, specific asks, and success signals. Distinct from meeting-agenda because this artifact is not shared with attendees; it is the user's personal tactical prep for meetings where positioning matters.

Produces a topic-segmented post-meeting summary for attendees with decisions highlighted and actions captured inline per topic (plus a consolidated action view at the end). Auto-populates topic skeleton from a sibling meeting-agenda when available and reconciles planned vs. actual topics. Accepts transcripts from Zoom, Meet, Otter, Fireflies, Krisp MCP, or manual notes; runs on variable-quality input without blocking. For synthesizing user research interviews across participants, use discover-interview-synthesis.

Builds an abstraction ladder that moves a problem up ("why / to what end?") and down ("how / what specifically?") to locate the right altitude to work at, then marks one rung as the working level. Use when a problem is stated as a bare solution with an unstated purpose, as a vague aspiration with no concrete handle, when people are arguing past each other at different levels, or before committing effort at an altitude nobody chose on purpose.

Produces a clustered theme map that groups many raw notes, observations, quotes, or data points bottom-up into a small set of named, traceable themes (the KJ method). Use when a scattered pile of dozens to hundreds of existing items needs to become a few emergent themes, such as synthesizing user-research notes, support tickets, survey free-text, or retro stickies, and the right structure should emerge from the data rather than be imposed.

Produces a structured after-action review by comparing what was expected against what actually happened, diagnosing why the gaps occurred, and converting them into specific owned sustain-and-change actions. Use when a project, launch, sprint, or incident has finished and you want to turn the outcome into learning, not a status update.

Handles a by-name request for ACH (Analysis of Competing Hypotheses), the evidence-by-hypothesis disconfirmation matrix, honestly. Controlled trials found ACH raises confidence with no accuracy gain and does not reduce confirmation bias, so this skill does NOT build the matrix as if valid. It leads with that evidence, then routes to the evidence-based move the job actually needs (think-red-team-light, think-evidence-vs-inference-sort, or think-what-would-have-to-be-true). Use only when someone asks for ACH or a competing-hypotheses matrix by name.

Produces an argument map by laying out a claim's supporting reasons, the co-premises each silently depends on, and the objections against it as an explicit structure, then flags the weakest links and unsupported premises. Use when an argument or recommendation must be evaluated for soundness, or when a fluent case may be hiding a broken inference.

Generates non-obvious ideas by surfacing the foundational assumptions a problem or solution rests on, negating each, and reframing from the reversed assumptions, then shortlisting, producing an assumptions-and-reversals sheet. Use when an option space feels stuck inside default constraints, or when you need to expose premises that are taken for granted.

Checks whether a decision has genuine minority dissent or only smooth surface consensus, identifies who actually holds a contrary view, and plans how to elicit and protect real dissent, flagging clearly where a view is constructed rather than authentically held. Use when consensus feels too easy, or to set up genuine challenge before a high-stakes call.

Produces a backcast path by fixing a vivid desired future state and reasoning backward through the milestones and preconditions required to reach it, ending at the next concrete step available now. Use when planning toward a transformative or long-horizon goal that forward planning anchors too low, when a chosen future needs a route mapped back to today, or when milestones and dependencies between now and the goal must be made explicit.

Creates and improves agentskills.io skills to the Advanced Skill Library Standard. Use when you need to author a new SKILL.md, scaffold a skill directory, or raise an existing skill's conformance and description quality.

Evaluates a skill or plugin against the Advanced Skill Library Standard across three modes, producing deterministic conformance findings and a tier, an opt-in behavioral pass, and a qualitative review. Use when you want to audit conformance, judge whether a skill behaves and triggers correctly, get a qualitative review, or see what blocks the next tier.

Converts a meeting transcript into a decision log. Use when the user asks to extract decisions, action items, or owners from a transcript.

Assesses an existing skills repository against the Advanced Skill Library Standard, produces a staged bring-to-conformance plan, and writes the minimal canonical manifest so the repo becomes gradeable. Use when adopting a foreign or ad-hoc skills repo, migrating a Claude-only plugin toward cross-agent conformance, or planning a Bronze-to-Silver upgrade path.

Builds and validates a plugin's release by computing the version, promoting the changelog, curating the release notes, and running the readiness gate, to the Advanced Skill Library Standard. Use when cutting a release, bumping the plugin version, updating the changelog or release notes, or checking release readiness.

Creates, triages, and prunes a plugin's two backlogs (new-component proposals and enhancements) to the Advanced Skill Library Standard. Use when capturing a new-component proposal through the why-gate, prioritizing backlog items, or removing stale or completed entries.

Creates and improves a plugin's AGENTS.md (the agent navigation and instructions entrypoint) to the Advanced Skill Library Standard. Use when you need to author or sync AGENTS.md, align it with the component index, or trim an overgrown one to essential, mostly-positive guidance.

Creates and improves a plugin's chain contract (agents/_chain-permitted.yaml) to the Advanced Skill Library Standard. Use when a skill or subagent invokes another component and you need to declare the permitted inter-component invocations, or to resolve S4 orphan or phantom findings.

Recommend a voice, tone, style, and format combination from the catalog's stable entries for a described writing situation, then compose the prompt in the same step. Use when a user has a writing situation but does not yet know which catalog entries fit it - they describe what they need to write, not which entry ids to use. Accepts optional pre-fixed axis values so a user who already knows one or two axes only gets recommendations for the rest. Never recommends a draft-status entry. Reports low confidence rather than force-picking when nothing genuinely fits.

Compose a writing instruction from voice, tone, style, and format axis entries. Use when you need a precise writing instruction for a specific combination of voice, tone, style, and format. Returns a ready-to-use LLM prompt string.

Guide a user to a personal writing-style profile - a saved selection across the catalog's Voice, Tone, Style, and Format axes - and prove it sounds like them with a generated sample before saving. Use when a user wants to set, capture, reuse, or load their own default writing style, or says "set up my writing style", "capture my voice", "create a style profile", "what's my house style", "use my style profile", or wants a reusable style across the writing-style-catalog. Offers four intake modes (infer from your writing, recognize from examples, interview, or fill a template), confirms with an A/B sample, and saves a reusable profile to local user state.