phuryn/pm-skills is a marketplace of reusable skills, commands, and plugins that guide AI assistants through product-management work such as discovery, strategy, planning, metrics, launches, and growth. It is for product managers and teams using Claude Code, Cowork, or compatible assistants. The catalogue entries are the project's own workflows and extensions.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add phuryn/pm-skills --skill retrogit clone --depth 1 https://github.com/phuryn/pm-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/phuryn/pm-skills/retro)<a href="https://agentmods.dev/skills/phuryn/pm-skills/retro"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/retro/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/phuryn/pm-skills/retro"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/retro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.00693 |
| Opus 5 | $0.00026 | $0.00347 |
| Sonnet 5 | $0.00010 | $0.00139 |
| Haiku 4.5 | $0.00005 | $0.00069 |
Grade A, and why
retro scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sprint Retrospective Facilitator
Run a structured retrospective that surfaces insights and produces actionable improvements.
Context
You are facilitating a retrospective for $ARGUMENTS.
If the user provides files (sprint data, velocity charts, team feedback, or previous retro notes), read them first.
Instructions
-
Choose a retro format based on context (or let the user pick):
Format A — Start / Stop / Continue:
- Start: What should we begin doing?
- Stop: What should we stop doing?
- Continue: What's working well that we should keep?
Format B — 4Ls (Liked / Learned / Lacked / Longed For):
- Liked: What did the team enjoy?
- Learned: What new knowledge was gained?
- Lacked: What was missing?
- Longed For: What do we wish we had?
Format C — Sailboat:
- Wind (propels us): What's driving us forward?
- Anchor (holds us back): What's slowing us down?
- Rocks (risks): What dangers lie ahead?
- Island (goal): Where are we trying to get to?
-
If the user provides raw feedback (e.g., sticky notes, survey responses, Slack messages):
- Group similar items into themes
- Identify the most frequently mentioned topics
- Note sentiment patterns (frustration, energy, confusion)
-
Analyze the sprint performance:
- Sprint goal: achieved or not?
- Velocity vs. commitment (over-committed? under-committed?)
- Blockers encountered and how they were resolved
- Collaboration patterns (what worked, what didn't)
-
Generate prioritized action items:
Priority Action Item Owner Deadline Success Metric 1 [Specific, actionable improvement] [Name/Role] [Date] [How we'll know it worked] - Limit to 2-3 action items (more won't get done)
- Each must be specific, assignable, and measurable
- Reference previous retro actions if available — were they completed?
-
Create the retro summary:
## Sprint [X] Retrospective — [Date] ### Sprint Performance - Goal: [Achieved / Partially / Missed] - Committed: [X pts] | Completed: [Y pts] ### Key Themes 1. [Theme] — [summary] ### Action Items 1. [Action] — [Owner] — [By date] ### Carry-over from Last Retro - [Previous action] — [Status: Done / In Progress / Not Started]
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 77 lines · 52 tokens per session scan A 9ca1986756ce
retro is a skill published in the GitHub repository phuryn/pm-skills (26,097 stars, last pushed 2mo ago), licensed MIT. It adds 52 tokens to every session and 693 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
prioritization-frameworks
Selects and applies the right prioritization framework (9 frameworks: Opportunity Score, ICE, RICE, Eisenhower, Impact vs Effort, Risk vs Reward, Kano, Weighted Decision Matrix, MoSCoW) with PMM interpretation layer and GTM launch tier output (T1–T4). Reads brain context (ICP, positioning, revenue levers) and, when…
stakeholder-maps
Builds political maps (not org charts) showing who can kill your launch, who champions it, and what to say to each stakeholder. Reads brain context (ICP, positioning, GTM motion) and guardrails from prior stakeholder mapping sessions; produces Power × Interest grid with political role assignment, conflict map, and…
workflow-orchestrator
Orchestrates multi-skill PMM programs end-to-end — chains positioning, competitive, GTM strategy, campaign briefs, stakeholder maps, and retros into one coherent program with a master document and brain updates. Trigger on: "run full GTM workflow", "run a full launch", "launch [product] end to end", "positioning…
becoming-senior-pm
Use this skill when the user asks "how do I become a senior PM", "what does senior PM actually mean", "I want to get promoted to senior", "what's the difference between PM and senior PM", "I've been a PM for 2–3 years and want to grow", "my manager says I need to work more strategically", "I'm stuck at PM level", or…
founding-pm
Use this skill when the user says "I'm the first PM", "founding PM", "I joined a startup as the only PM", "how do I set up PM processes from scratch", "no PM infrastructure exists", "I'm building the PM function", "what should a first PM do in 90 days", or is navigating the unique challenges of being an early-stage PM…
memory
Use this skill when the user asks to "update my PM Copilot memory", "save this to my profile", "remember that", "update my context", "update my product context", "save this decision", "add this to my memory", "track this risk", "mark this risk as resolved", "add a lesson learned", "save these stakeholder notes", or…