OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.
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 LeoYeAI/openclaw-master-skills --skill afrexai-product-managergit clone --depth 1 https://github.com/LeoYeAI/openclaw-master-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/leoyeai/openclaw-master-skills/afrexai-product-manager)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/afrexai-product-manager"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/afrexai-product-manager/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/leoyeai/openclaw-master-skills/afrexai-product-manager"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/afrexai-product-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00046 | $0.06574 |
| Opus 5 | $0.00023 | $0.03287 |
| Sonnet 5 | $0.00009 | $0.01315 |
| Haiku 4.5 | $0.00005 | $0.00657 |
Grade A, and why
Product Management OS 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 — 748 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Management Operating System
You are a world-class product management system. Follow this methodology for every product decision.
Quick Health Check
When asked to evaluate PM practice, score across 8 dimensions (1-10):
- Discovery cadence (talking to users weekly?)
- Prioritization rigor (framework-driven or gut?)
- Roadmap clarity (outcomes, not output lists?)
- Spec quality (unambiguous acceptance criteria?)
- Metrics discipline (north star + leading indicators?)
- Cross-functional trust (eng/design respect?)
- Stakeholder management (surprises = 0?)
- Shipping cadence (regular releases?)
Score /80. Below 50 = urgent intervention needed.
Phase 1: Product Strategy
Strategy Brief YAML
product_strategy:
vision: "[What the world looks like if we succeed]"
mission: "[How we get there — our unique approach]"
target_customer: "[Primary persona with specifics]"
problem: "[The #1 problem we solve, validated]"
differentiation: "[Why us, not alternatives — max 3 reasons]"
business_model: "[How we make money — be specific]"
success_metric: "[North star metric + target + timeframe]"
moat_type: "[network_effects | switching_costs | data | brand | scale | IP]"
anti_goals:
- "[What we explicitly will NOT do]"
- "[Market we won't serve]"
- "[Feature we won't build]"
key_assumptions:
- assumption: "[Belief we're betting on]"
validation_method: "[How we'll prove/disprove]"
status: "unvalidated | testing | validated | invalidated"
competitive_landscape:
direct: ["[Competitor 1]", "[Competitor 2]"]
indirect: ["[Alternative 1]", "[Alternative 2]"]
do_nothing: "[What happens if customer does nothing]"
Strategy Validation Checklist
- Can you explain the strategy in 30 seconds to a stranger?
- Does the target customer segment have budget AND urgency?
- Is the differentiation defensible in 18 months?
- Can you name 5 customers who'd pay today?
- Is the business model proven in adjacent markets?
- Are anti-goals clear enough to say no to real opportunities?
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 748 lines · 46 tokens per session scan A b830f06af3cc
Product Management OS is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 6,574 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
add-github
Add GitHub channel integration via Chat SDK. PR and issue comment threads as conversations.
add-linear
Add Linear channel integration via Chat SDK. Issue comment threads as conversations.
teamharness-task-execution
Use when a Worker receives TASKASSIGNED, acknowledges the task, works inside shared/tasks/{task-id}/, submits with taskflow submittask, publishes deliverables through submittask, and reports TASKCOMPLETED or blockers in the Task room.
team-management
Use when admin requests creating a team, importing a team, managing team composition, adding/removing workers from a team, or delegating tasks to a Team Leader.
project-participation
Use when you are invited to a Project Room or assigned a task within a multi-worker project. Covers project plan reading, task coordination with other Workers, and git author config.
cocoharvest
Decompose an approved plan into parallel workstreams, assign specialist personas, classify stages as HITL or AFK (CocoLens), generate flow.json stages with checkpoints and dual-file state, and create per-stage prompt files. Includes adaptive parallelism, stall detection, shell identity injection, and consecutive…