MCPInstall

oma-pm

Turn product requirements into scoped tasks with dependencies and acceptance criteria. Use for implementation planning and prioritization.

Installs
153
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/gracefullight/stock-checker --skill oma-pm
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads oma-pm automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

PM Agent - Product Manager

Scheduling

Goal

Turn ambiguous or complex product requests into actionable, dependency-aware plans with clear tasks, priorities, acceptance criteria, API contracts, and risk/governance notes.

Intent signature

  • User asks for planning, requirements, specification, scope, prioritization, task breakdown, roadmap, or implementation plan.
  • User needs work decomposed for specialist agents or orchestrator execution.

When to use

  • Breaking down complex feature requests into tasks
  • Determining technical feasibility and architecture
  • Prioritizing work and planning sprints
  • Defining API contracts and data models

When NOT to use

  • Implementing actual code -> delegate to specialized agents
  • Performing code reviews -> use QA Agent

Expected inputs

  • User request, product goal, constraints, target users, and acceptance expectations
  • Existing codebase context, architecture constraints, and integration points
  • Optional standards, risk, governance, or orchestration requirements

Expected outputs

  • JSON plan and task-board.md-compatible task breakdown
  • Agent assignment, title, priority, dependencies, acceptance criteria, security/testing expectations
  • API contracts or data model sketches when relevant
  • Saved plan artifacts under .agents/results/
outputs:
  - name: plan
    description: PM task breakdown JSON for orchestrator consumption
    artifact: ".agents/results/plan-*.json"
    required: true

Dependencies

  • resources/execution-protocol.md, examples, task template, and ISO planning guide
  • Shared API contract references and project context-loading rules
  • Downstream specialist skills for implementation

Control-flow features

  • Branches by ambiguity, dependency structure, risk level, and whether standards/governance framing is needed
  • Produces planning artifacts rather than code
  • Optimizes for parallelizable specialist-agent execution

Structural Flow

Entry

  1. Clarify the product goal, constraints, and target deliverables.
  2. Identify technical domains and required contracts.
  3. Decide whether ISO/risk/governance framing is relevant.

Scenes

  1. PREPARE: Gather requirements, constraints, and context.
  2. REASON: Decompose work, identify dependencies, risks, and API/data contracts.
  3. ACT: Produce JSON plan and task-board-compatible output.
  4. VERIFY: Check task atomicity, acceptance criteria, security/testing coverage, and dependency shape.
  5. FINALIZE: Save plan artifacts and summarize execution path.

Transitions

  • If requirements are ambiguous, clarify before decomposition.
  • If tasks are tightly coupled, refine contracts or sequencing.
  • If architecture is uncertain, coordinate with architecture before implementation planning.
  • If the user needs automated execution, hand off to orchestrator after plan approval.

Failure and recovery

  • If scope is too broad, split into phases.
  • If acceptance criteria are vague, rewrite them into testable outcomes.
  • If dependencies block parallel execution, surface sequencing explicitly.

Exit

  • Success: plan is actionable, testable, prioritized, and compatible with orchestrator execution.
  • Partial success: unresolved assumptions or dependencies are explicit.

Logical Operations

Actions

ActionSSL primitiveEvidence
Read requirements/contextREADUser request and project context
Select planning structureSELECTTask template and workflow needs
Infer tasks and dependenciesINFERDomain decomposition
Validate acceptance criteriaVALIDATEChecklist and task schema
Write plan artifactsWRITEJSON plan and task-board markdown
Notify plan summaryNOTIFYFinal planning report

Tools and instruments

  • Task template, examples, ISO planning guide, shared API contracts
  • Local filesystem for result artifacts

Canonical workflow path

1. Define API/data contracts.
2. Decompose tasks with agent, title, priority, dependencies, and acceptance criteria.
3. Save `.agents/results/plan-{sessionId}.json` using the injected session ID. Write the run-scoped report from the shared memory/result contract.

Resource scope

ScopeResource target
MEMORYRequirements, assumptions, dependencies
LOCAL_FS.agents/results/plan-{sessionId}.json, injected claim path and task/run-scoped report
CODEBASEOptional project context and API/data model references

Preconditions

  • Product goal and planning boundary are sufficiently clear.
  • Required implementation domains can be identified.

Effects and side effects

  • Creates plan artifacts and task boards.
  • Influences downstream agent assignments and execution order.
  • Does not directly implement code.

Guardrails

  1. For changed interfaces, reuse or define API/data contracts before dependent implementation tasks
  2. Every executable task has: agent, title, {id, description} acceptance criteria, covering required_checks with exact argv/cwd, a replayable task prompt, priority tier (1 = independent, lower runs first), dependencies, and scope
  3. Minimize dependencies for maximum parallel execution
  4. Security and testing are part of every task (not separate phases)
  5. Tasks should be completable by a single agent
  6. Output JSON plan + task-board.md for orchestrator compatibility
  7. When relevant, structure plans using ISO 21500 concepts, risk prioritization using ISO 31000 thinking, and responsibility/governance suggestions inspired by ISO 38500

Common Pitfalls

  • Too Granular: "Implement user auth API" is one task, not five
  • Vague Tasks: "Make it better" -> "Add loading states to all forms"
  • Tight Coupling: tasks should use public APIs, not internal state
  • Deferred Quality: testing is part of every task, not a final phase

References

  • Local code tools: ../_shared/core/code-intelligence.md (code search/navigation)

  • Runtime identity and run-scoped reports: ../_shared/runtime/memory-protocol.md, ../_shared/runtime/result-contract.md

  • Execution steps (follow for the selected task): resources/execution-protocol.md

  • Plan examples: resources/examples.md

  • ISO planning guide: resources/iso-planning.md

  • Error recovery: resources/error-playbook.md

  • Task schema: resources/task-template.json

  • Ultrawork PLAN phase protocol: resources/plan-phase-protocol.md (used when this skill runs inside the ultrawork workflow)

  • Task board spec (orchestrator-consumed format): ../oma-orchestration/resources/memory-schema.md

  • Human-readable tracker: when running inside the /plan workflow, also generate docs/plans/work/{NNN}-{name}.md per .agents/workflows/plan.md

  • API contract template (SSOT): ../_shared/core/api-contracts/template.md; write generated contracts to .agents/results/api-contracts/ (run artifact) or docs/plans/contracts/ (durable spec)

  • Context loading: ../_shared/core/context-loading.md

  • Planning depth: ../_shared/core/difficulty-guide.md (unresolved scope or dependencies)

  • Clarification: ../_shared/core/clarification-protocol.md

  • Context budget: ../_shared/core/context-budget.md

  • Lessons learned: ../_shared/core/lessons-learned.md (matching prior failure or requested retrospective)

FAQ

What does the oma-pm skill do?

Turn product requirements into scoped tasks with dependencies and acceptance criteria. Use for implementation planning and prioritization.

How do I install oma-pm?

Run npx skills add https://github.com/gracefullight/stock-checker --skill oma-pm in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/oma-pm/ (personal) or .claude/skills/oma-pm/ (project).

Which AI agents can use oma-pm?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is oma-pm safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains oma-pm?

It is published by gracefullight in gracefullight/stock-checker. It has 153 recorded installs.

More from gracefullight/stock-checker

View all →

stock-analysis

gracefullight/stock-checker

Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management (create, add, remove assets), crypto analysis (Top 20 by market cap), and periodic performance reports (daily/weekly/monthly/quarterly/yearly). 8 analysis dimensions for stocks, 3 for crypto. Use for stock analysis, portfolio tracking, earnings reactions, or crypto monitoring.

Business & Finance12.1K installs

yahoo-finance

gracefullight/stock-checker

Get stock prices, quotes, fundamentals, earnings, options, dividends, and analyst ratings using Yahoo Finance. Uses yfinance library - no API key required.

Business & Finance4.7K installs

trading-analysis

gracefullight/stock-checker

Generate professional investment reports for stocks and ETFs. Use when user requests market analysis, investment reports, stock analysis, or trading recommendations for financial instruments (SPY, AAPL, TSLA, etc.). Creates institutional-grade reports with technical indicators, AI-powered insights, charts, and investment recommendations.

Business & Finance3.2K installs

backtesting-trading-strategies

gracefullight/stock-checker

Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading strategy, validate signals, or compare approaches. Trigger with phrases like "backtest strategy", "test trading strategy", "historical performance", "simulate trades", "optimize parameters", or "validate signals".

financial data fetcher

gracefullight/stock-checker

Fetches real-time and historical market data, financial news, and fundamental data for trading decisions

Business & Finance539 installs

oma-debug

gracefullight/stock-checker

Diagnose a reproducible failure, fix its cause, and verify the regression. Use for crashes, incorrect behavior, and failing tests.

Popular code quality & workflow skills

View category →

grill-me

mattpocock/skills

A relentless interview to sharpen a plan or design.

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

handoff

mattpocock/skills

Compact the current conversation into a handoff document for another agent to pick up.

domain-modeling

mattpocock/skills

Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a GLOSSARY.md, or recording or editing an ADR.

codebase-design

mattpocock/skills

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

diagnosing-bugs

mattpocock/skills

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.