oma-pm
Skill223 starsChanged 28 days agoMITView on GitHub
Turn product requirements into scoped tasks with dependencies and acceptance criteria. Use for implementation planning and prioritization.
We split this skill into the rules it gives an agent
11 rules. About 0 are common, 10 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈10
Distinctive · estimate
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
- Distinctive: line 67
VERIFY: Check task atomicity, acceptance criteria, security/testing coverage, and dependency shape.
- Distinctive: line 71
If requirements are ambiguous, clarify before decomposition.
- Distinctive: line 72
If tasks are tightly coupled, refine contracts or sequencing.
- Distinctive: line 73
If architecture is uncertain, coordinate with architecture before implementation planning.
- Distinctive: line 74
If the user needs automated execution, hand off to orchestrator after plan approval.
- Distinctive: line 77
If scope is too broad, split into phases.
- Distinctive: line 78
If acceptance criteria are vague, rewrite them into testable outcomes.
- Distinctive: line 79
If dependencies block parallel execution, surface sequencing explicitly.
- Distinctive: line 122
Does not directly implement code.
- Very specific: line 126
Every executable task has: agent, title, {id, description} acceptance criteria, covering required_checks with exact argv/cwd, a replayable …
- Distinctive: line 131
When relevant, structure plans using ISO 21500 concepts, risk prioritization using ISO 31000 thinking, and responsibility/governance …
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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: trueDependencies
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
- Clarify the product goal, constraints, and target deliverables.
- Identify technical domains and required contracts.
- Decide whether ISO/risk/governance framing is relevant.
Scenes
- PREPARE: Gather requirements, constraints, and context.
- REASON: Decompose work, identify dependencies, risks, and API/data contracts.
- ACT: Produce JSON plan and task-board-compatible output.
- VERIFY: Check task atomicity, acceptance criteria, security/testing coverage, and dependency shape.
- 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
| Action | SSL primitive | Evidence |
| Read requirements/context | READ | User request and project context |
| Select planning structure | SELECT | Task template and workflow needs |
| Infer tasks and dependencies | INFER | Domain decomposition |
| Validate acceptance criteria | VALIDATE | Checklist and task schema |
| Write plan artifacts | WRITE | JSON plan and task-board markdown |
| Notify plan summary | NOTIFY | Final 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
| Scope | Resource target |
MEMORY | Requirements, assumptions, dependencies |
LOCAL_FS | .agents/results/plan-{sessionId}.json, injected claim path and task/run-scoped report |
CODEBASE | Optional 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
- For changed interfaces, reuse or define API/data contracts before dependent implementation tasks
- Every executable task has: agent, title,
{id, description}acceptance criteria, coveringrequired_checkswith exact argv/cwd, a replayabletaskprompt, priority tier (1 = independent, lower runs first), dependencies, and scope - Minimize dependencies for maximum parallel execution
- Security and testing are part of every task (not separate phases)
- Tasks should be completable by a single agent
- Output JSON plan + task-board.md for orchestrator compatibility
- 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
/planworkflow, also generatedocs/plans/work/{NNN}-{name}.mdper.agents/workflows/plan.md - API contract template (SSOT):
../_shared/core/api-contracts/template.md; write generated contracts to.agents/results/api-contracts/(run artifact) ordocs/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)
Other versions3 projects use a version of this.
Word for word · 2
- first-fluke/oh-my-ag★ 1.3k100% same
- first-fluke/oh-my-agent★ 1.3k100% same
Edited · 1
- deathrashed/agents★ 183% same
Wrote their own version · 0
None found.
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.
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