100 autonomous workflows across 10 PM disciplines. Built for Claude Code.
Reads Jira sprint board, drafts what shipped vs rolled over, and velocity trends.
Flags stale tickets, missing AC, unestimated stories, enforces hygiene.
Auto-scores incoming tickets using RICE framework against historical data.
Cross-references Jira AC against Git diffs to catch spec-code drift.
Compiles standups, Git commits, and Jira into a noise-free team view.
Decomposes a high-level epic into logical, dev-ready user stories.
Proposes estimates based on complexity patterns from past sprints.
Evaluates proposed sprint scope against team capacity, warns of overcommit.
Monitors standups/Slack to detect cross-team blockers and escalate.
Parses retro notes, groups by theme, generates ranked action items.
Compiles async Slack standups into a single daily team dashboard view.
Validates all tickets in a release have passed QA and are linked.
Maps cross-team/cross-repo dependencies for a release train.
Tracks velocity drops sprint-over-sprint, cross-references with PTO/incidents.
Adds investigation findings to tickets in proper ADF format with BLUF style.
Transforms 3-line ideas into fully structured PRDs with edge cases and metrics.
Translates Git commits + Jira resolutions into customer-facing changelogs.
Generates exhaustive Given/When/Then criteria from user stories.
Scans draft PRDs to flag missing error states, empty states, negative flows.
Helps non-technical PMs draft business requirements for new API endpoints.
Generates human-friendly, actionable error copy for every failure state.
Drafts step-by-step guides based on feature specs or Figma flows.
Anticipates user confusion on a new feature and pre-writes support FAQ.
Structures raw updates into a polished, category-sorted public changelog.
Auto-generates Confluence/Notion pages from PRD + design decisions.
Converts engineering architecture docs into PM-readable summaries.
Drafts customer communication for sunsetting features with migration paths.
Digests dashboards, flags WoW anomalies, generates narrative summaries.
Synthesizes 30 days of data into exec-ready narrative and board slides.
Post-launch deep-dive measuring adoption, retention vs PRD goals.
Translates natural language questions into precise SQL for your schema.
Identifies statistically significant drop-off points in conversion funnels.
Determines statistical significance and business impact of experiments.
Scans daily KPIs and flags deviations from moving averages.
Analyzes retention matrices to identify which cohorts churn fastest.
Projects revenue impact of pricing or packaging changes.
Generates one-off data reports with charts from ad-hoc PM questions.
Reads session replay/heatmap data and summarizes UX friction zones.
Documents database tables, columns, and relationships for PM context.
Monitors competitor releases, pricing, and public roadmaps for SWOT analysis.
Ingests market trends + user feedback to brainstorm novel feature ideas.
Clusters interview feedback by theme with verbatim quotes.
Analyzes low-usage features vs maintenance cost to recommend deprecation.
Uses "5 Whys" framework to decompose vague complaints into root problems.
Aggregates industry news to surface macro trends affecting your space.
Builds dynamic personas from real support tickets and usage data.
Structures customer needs using the JTBD framework from raw research.
Evaluates proposed features against quarterly OKRs for strategic fit.
Maps opportunities to solutions using Teresa Torres' framework.
Structures hypothesis, metrics, and variants for new experiments.
Analyzes first-time user flows to identify activation bottlenecks.
Evaluates referral loop mechanics and proposes optimization strategies.
Designs notification cadence, copy, and segmentation for re-engagement.
Identifies leading indicators of churn from behavioral cohort data.
Monitors "aha moment" metrics and flags when activation rates dip.
Designs referral, sharing, and social proof mechanics for organic growth.
Measures adoption curves for newly launched features against benchmarks.
Builds structured pricing A/B tests with projected revenue scenarios.
Evaluates active promotions for ROI, cannibalization, and fraud risk.
Reads Play Store ratings, crashes, ANRs, and keyword ranks into action items.
Analyzes GSC impressions, CTRs, and keyword gaps for SEO wins.
Audits app store listings and suggests title/description keyword changes.
Categorizes thousands of reviews into themes (Bugs, Pricing, UX).
Cross-references your content with top-ranking competitors to find gaps.
Monitors brand mentions across Twitter/Reddit to surface sentiment shifts.
Analyzes ad campaign performance, CPA trends, and budget optimization.
Evaluates Meta campaign ROI, creative fatigue, and audience targeting.
Maps the journey from impression → install → activation across channels.
Ranks blog/help articles by traffic, engagement, and conversion.
Diagnoses production alarms using New Relic / Datadog data.
Synthesizes Slack incident channels into structured RCA documents.
Tracks endpoint latency, error rates, and SLA compliance.
Helps PMs understand table relationships and data flows.
Reads Crashlytics/Sentry data to prioritize crash fixes by user impact.
Audits cloud infrastructure costs and flags optimization opportunities.
Translates PR diffs into PM-readable summaries of what changed.
Documents ADRs from engineering discussions.
Visualizes microservice dependencies relevant to a product feature.
Auto-generates test scenarios from acceptance criteria for the QA team.
Writes the Friday product update email pulling from Jira + analytics.
Condenses 10-page PRDs into 3-bullet executive summaries.
Formats quarterly achievements, metrics, and roadmap into board slides.
Drafts diplomatic, data-backed responses to "too hard" objections.
Translates features into value propositions for the sales team.
Drafts the delicate email explaining why a feature is delayed.
Parses meeting transcripts to extract assigned actions with deadlines.
Defines Responsible/Accountable/Consulted/Informed for launch initiatives.
Reads high-priority support tickets, identifies known bugs, drafts responses.
Converts raw burndown data into a human-readable progress narrative.
Reads Zendesk/Freshdesk tickets and translates recurring complaints into backlog items.
Sorts open-ended NPS responses into actionable product themes.
Drafts unbiased, high-response-rate survey questions for specific hypotheses.
Clusters duplicate feature requests from multiple channels into single items.
Synthesizes account data to prepare personalized agendas for CAB meetings.
Categorizes and prioritizes in-app feedback widget submissions.
Daily digest of overnight metrics, critical alerts, team updates, and calendar.
Structures the week's priorities based on sprint goals and deadlines.
Reads calendar, Jira, and Slack to propose an optimized daily schedule.
Generates and tracks a comprehensive pre-launch checklist across all teams.
Captures PM corrections and encodes them back into the system's knowledge.
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