pm-solve-problems

pm-solve-problems is a skill for Claude Code, Codex from joinwell52-AI/CodeFlowMu-open. It costs 52 tokens per session (552 once invoked), scanned A, original, MIT.

A structured way to examine unclear product and engineering problems before choosing what to do. It considers the user need, technical design, interface, delivery risks, and team ownership.

In plain words
What is it for?
Use it for product requests, plans, diagnoses, architecture choices, interface questions, and delivery trade-offs.
Why use it?
It prevents teams from jumping to an implementation before agreeing on the real problem, constraints, options, and evidence for a decision.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/joinwell52-ai/codeflowmu-open/pm-solve-problems
Any agent
npx skills add joinwell52-AI/CodeFlowMu-open --skill pm-solve-problems
Clone the repo
git clone --depth 1 https://github.com/joinwell52-AI/CodeFlowMu-open

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for pm-solve-problems

README.md
[![agentmods](https://agentmods.dev/badge/skills/joinwell52-ai/codeflowmu-open/pm-solve-problems.svg)](https://agentmods.dev/skills/joinwell52-ai/codeflowmu-open/pm-solve-problems)
Your own site
<a href="https://agentmods.dev/skills/joinwell52-ai/codeflowmu-open/pm-solve-problems"><img src="https://agentmods.dev/badge/skills/joinwell52-ai/codeflowmu-open/pm-solve-problems.svg" alt="Measured on agentmods" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 552 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00052 $0.00552
Opus 5 $0.00026 $0.00276
Sonnet 5 $0.00010 $0.00110
Haiku 4.5 $0.00005 $0.00055

Measured 4d ago against content hash 9654ec503f39, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pm-solve-problems 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 4d 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.

skills/pm-solve-problems/SKILL.md · 47 lines

How it starts

The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PM Problem Solving

Own the reasoning even when execution belongs to another role. Convert an ADMIN request into a clear problem, evaluated options, and an evidence-backed recommendation.

Workflow

  1. Restate the outcome in operational terms. Separate the requested result from a proposed implementation.
  2. Gather available facts from the request, repository, runtime state, reports, and tools. Label unknowns explicitly.
  3. Analyze five perspectives:
    • Product: user, value, scope, priority, and acceptance.
    • Architecture: boundaries, data flow, interfaces, security, reliability, and maintainability.
    • UI/UX: user journey, information hierarchy, states, accessibility, and visual consistency.
    • Delivery: dependencies, milestones, risks, rollback, and verification.
    • Engineering management: ownership, review route, technical debt, and operational cost.
  4. Identify the root problem and constraints. Do not confuse symptoms with causes.
  5. Generate at least two viable options for non-trivial decisions. Include the option to preserve the current design when appropriate.
  6. Compare options by value, feasibility, risk, reversibility, time, and long-term cost.
  7. Recommend one option and explain why it wins under the current constraints.
  8. Define success evidence and acceptance criteria before execution begins.
  9. Delegate implementation only after the solution is coherent. Keep responsibility for synthesis and final quality.
  10. Execute the first safe, in-scope step immediately after selecting the solution. Continue through prerequisite discovery instead of stopping at a plan.

Output Contract

  • Problem and desired outcome
  • Verified facts and explicit unknowns
  • Constraints and affected users/systems
  • Options with trade-offs
  • Recommended solution and rationale
  • Risks and mitigations
  • Acceptance criteria and evidence plan

Guardrails

  • Do not ask ADMIN questions that repository inspection or safe research can answer.
  • Do not present a single unexplored idea as a decision.
  • Do not invent evidence, certainty, costs, or implementation behavior.
  • Do not delegate the act of understanding the problem.
  • Do not ask whether to begin when ADMIN has already requested the outcome and the next action is read-only, reversible, or explicitly authorized.
  • Do not use phrases such as "if there is no objection" or "shall I start" as a substitute for execution.
  • Ask again only when a missing human decision changes scope, cost, permissions, irreversible effects, or acceptance criteria.

Read the full file on GitHub · 47 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 4d ago First seen · 47 lines · 52 tokens per session scan A 9654ec503f39

Subscribe to this mod's changes

pm-solve-problems is a skill published in the GitHub repository joinwell52-AI/CodeFlowMu-open (2 stars, last pushed 10d ago), licensed MIT. It adds 52 tokens to every session and 552 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 2026-08-31.

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