product-management
Skill0 starsChanged 9 days agoApache-2.0View on GitHub
Own product and UX artifacts — problem framing, personas, PRD and prioritised scope, KPIs and instrumentation, launch plans, experiments, outcome reviews, roadmap, screen inventory and user flows. Use when defining what a product does and for whom, or writing or reviewing a PRD, roadmap or KPI plan. Not for AI delivery (ai-product-delivery), backlog ordering and story acceptance (product-owner), project schedule and status (project-management), detailed requirements (business-analysis), content (content-distribution) or client proposals (client-discovery-and-proposals).
16 other projects use a version of this.
Adopted by
Most recently taken up by
- DTiapan/crafttheir own version, first seen Nov 8, 2026
- swabbie-dev/product-intent-packagetheir own version, first seen Oct 20, 2026
- PhoenixNest/AGENT-GLOBAL-BASEtheir own version, first seen Oct 20, 2026
- foreturn/product-studiotheir own version, first seen Oct 14, 2026
- vasilyu1983/AI-Agents-publictheir own version, first seen Oct 13, 2026
- tstapler/dotfilestheir own version, first seen Oct 10, 2026
Other versions16 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 16
- travisjneuman/.claude★ 106same name
- vasilyu1983/AI-Agents-public★ 94same name
- tstapler/dotfiles★ 8same name
- HK-hub/AgentSkills★ 6same name
- prayceo/claude-skills-public★ 6same name
- foreturn/product-studio★ 3same name
- ProjAnvil/MindForge★ 3same name
- PhoenixNest/AGENT-GLOBAL-BASE★ 2same name
- aayushus/skills★ 1same name
- arush361/autoresearch-claude-skills★ 1same name
6 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository27 other files it gives its agents.
- ai-agentsSkill
- ai-agent-workflowsSkill
- ai-native-estimationSkill
- ai-product-deliverySkill
- book-dev-engineering-loopSkill
- business-analysisSkill
- client-discovery-and-proposalsSkill
- content-distributionSkill
- data-engineeringSkill
- flow-videoSkill
- game-engineeringSkill
- govern-ai-skillsSkill
- graphic-designSkill
- lead-research-and-crmSkill
- main-only-developmentSkill
- product-ownerSkill
- project-managementSkill
- qa-testingSkill
- security-and-privacySkill
- skill-templateSkill
- solo-empire-operatorSkill
- solution-architectureSkill
- subagent-orchestrationSkill
- system-docpackSkill
- unused-file-cleanupSkill
- ux-reviewSkill
- xr-engineeringSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 14 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 16
Write the PRD (01-prd.md in the docpack or templates/positions/product-manager/product-brief-and-roadmap.md): personas, in/out scope, …
“Common” is measured: kept by at least 6 in 10 of the 14 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Product Management
Decide what to build, for whom, and how success is measured, and make the user experience explicit enough to build and test.
Workflow
- Establish context: owner, users, current status, live evidence (usage, feedback, UAT findings, minutes) and the system's existing docpack.
- Frame the problem: user pain, business outcome, constraints, non-goals.
- Write the PRD (
01-prd.mdin the docpack ortemplates/positions/product-manager/product-brief-and-roadmap.md): personas, in/out scope, features with MoSCoW or P1/P2/P3 priority and phase, success metrics as KPI IDs and targets linked to the KPI plan (step 6), assumptions, risks. - Roadmap: phases and milestones tied to outcomes; mark unapproved dates [ต้องยืนยัน].
- UX: build the screen inventory from actual routes/pages (ID, name, role,
status) and draw the main user flows in mermaid; note design-system
components in use. Use
templates/positions/ux-ui-designer/research-and-design-handoff.mdfor a standalone design handoff. To show the built flows to the owner, client or a new tester, record a role tour and use-case videos withflow-video. - Measure: turn the PRD success metrics into
templates/sdlc/kpi-and-instrumentation-plan.md(architecture-docs) — an outcome, a leading, and a guardrail KPI for every charter objective, with formula, minimum volume, baseline, dated target, and the events that feed them. Draft it in phase 06 so G5 can approve it. It is the docpack typekpi-plan(KPI-PLAN), required for Tier A/B: save it asdocs/measurement/kpi-and-instrumentation-plan.mdwith queries inanalytics/kpi/<KPI-ID>.sql, and pick each KPI's ADR-0005 layer. The lifecycle Measure stage exits when events are live, checks 1–7 pass and a dated baseline exists. - Launch: write
templates/sdlc/launch-gtm-plan.mdat a high level in phase 05 (type, tier, window, budget) and in full in phase 10 (audience, positioning, pricing, channels with consent, enablement, support content, staged rollout, launch KPIs). G4 approves the high-level plan; G10 approves the full plan. - Learn: pre-register every A/B, pricing, or messaging test, and every
rollout used to measure impact, in
templates/sdlc/experiment-log.mdbefore it starts. After release, runtemplates/sdlc/outcome-review.mdat T+30, T+60, T+90, then on the KPI plan's cadence, and route each decision to a backlog item, experiment, change request, discovery question, roadmap change, KPI definition change, or feature retirement. The Learn stage exits when the T+30 review is decided and each decision is a backlog task, filed with the dedupe key and labels in architecture-docsdocs/lifecycle/OUTCOME-REVIEW-TO-BACKLOG.md. Details:references/measure-learn-loop.md. - Hand requirements detail and acceptance criteria to
business-analysis, backlog ordering and item acceptance toproduct-owner, schedule, RAID and status toproject-management, architecture tosolution-architecture, and test design toqa-testing.
Decision rules
- Prioritise by user outcome and evidence, not by feature count.
- Metrics need a baseline source or an explicit measurement plan. Define each metric once, in the KPI plan; other documents cite its KPI ID.
- Experiment design and decision rules are fixed before the test starts. No stopping early for a win unless a sequential method was pre-registered.
- Say a release "caused" a KPI change only with
highattribution confidence (a controlled experiment whose pre-registered rule was met with no invalidating deviation); otherwise say it "coincided with" the change. - Pricing, contract scope, or client commitments are owner decisions; record them as open questions unless a signed record exists.
- Screens that exist only in design are labelled planned, not built.
- Owner decisions 2026-10-23: tasks-api is the single backlog (D2), ADR-0003 CD with a post-deploy smoke test (D3), PostHog free tier (D4; sign-up, DPA and consent banner are still owner actions).
- For autopilot repos, new tasks go in as
autopilot:proposed; only the owner approves them toautopilot:todo.
Handoff
Report the PRD version, prioritised scope, KPI plan version and
instrumentation status, launch plan status, open experiments, the latest
outcome review verdict and its backlog task links, the scorecard level
(app_goal_scorecard.py) for Tier A/B, roadmap, screen/flow coverage, open decisions, and
who must approve them.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

