Creator · addyosmani
Last updated · Sep 1, 2026
Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible.
Review then install
Install targets
Codex install prompt
Install the "planning-and-task-breakdown" agent skill from https://github.com/addyosmani/agent-skills/tree/main/skills/planning-and-task-breakdown. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"addyosmani-planning-and-task-breakdown","task":"Install planning-and-task-breakdown","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add addyosmani/agent-skills --skill planning-and-task-breakdown
Maintenance
fresh
10d since push
Risk
Safe to try
Permission surface may require sandboxing
GitHub quality
91K
95/100 Quality · 84/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Permission surface needs review: shell or command execution, filesystem or document access
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
91K GitHub stars
Repo activity
91K stars, 9.8K forks
Maintenance
10d since push
License
MIT
Install
npx skills add addyosmani/agent-skills --skill planning-and-task-breakdown
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add addyosmani/agent-skills --skill planning-and-task-breakdownDo not use when
Alternative
1.9K Stars
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Alternative
61.0K Stars
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38.4K Stars
npx skills add Imbad0202/academic-research-skills
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256.3K Stars
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20planning-and-task-breakdown%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20planning-and-task-breakdown%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/addyosmani-planning-and-task-breakdown/install
Agent should check
Copy prompt
Task: Use planning-and-task-breakdown in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20planning-and-task-breakdown%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/addyosmani-planning-and-task-breakdown/install
Install command: npx skills add addyosmani/agent-skills --skill planning-and-task-breakdown
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/addyosmani-planning-and-task-breakdown/install
LLM text format
/api/skills/addyosmani-planning-and-task-breakdown/install?format=text
Find alternatives
/api/skills/search?q=planning-and-task-breakdown&limit=3
Agent prompt
Use planning-and-task-breakdown for this task. Review https://www.openagentskill.com/api/skills/addyosmani-planning-and-task-breakdown/install, then install with: npx skills add addyosmani/agent-skills --skill planning-and-task-breakdownRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/addyosmani-planning-and-task-breakdown
LLM text
/api/registry/manifest/addyosmani-planning-and-task-breakdown?format=text
Install alias
/api/registry/install/addyosmani-planning-and-task-breakdown
Recommend
/api/registry/recommend?task=Use%20planning-and-task-breakdown%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS91K GitHub stars
Stars/forks activity
PASS91K stars, 9.8K forks; issue activity unavailable in current metadata
Recent maintenance
PASS10d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Work with data stores
I need my agent to inspect database schemas, write SQL, and explain query results.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
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--- name: planning-and-task-breakdown description: Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible. ---
# Planning and Task Breakdown
## Overview
Decompose work into small, verifiable tasks with explicit acceptance criteria. Good task breakdown is the difference between an agent that completes work reliably and one that produces a tangled mess. Every task should be small enough to implement, test, and verify in a single focused session.
## When to Use
- You have a spec and need to break it into implementable units - A task feels too large or vague to start - Work needs to be parallelized across multiple agents or sessions - You need to communicate scope to a human - The implementation order isn't obvious
**When NOT to use:** Single-file changes with obvious scope, or when the spec already contains well-defined tasks.
## The Planning Process
### Step 1: Enter Plan Mode
Before writing any code, operate in read-only mode:
- Read the spec and relevant codebase sections - Identify existing patterns and conventions - Map dependencies between components - Note risks and unknowns
**Do NOT write code during planning.** The output is a plan document saved to `tasks/plan.md` and a task list recorded in the task list target (see Output Files; default `tasks/todo.md`), not implementation.
### Step 2: Identify the Dependency Graph
Map what depends on what:
``` Database schema │ ├── API models/types │ │ │ ├── API endpoints │ │ │ │ │ └── Frontend API client │ │ │ │ │ └── UI components │ │ │ └── Validation logic │ └── Seed data / migrations ```
Implementation order follows the dependency graph bottom-up: build foundations first.
### Step 3: Slice Vertically
Instead of building all the database, then all the API, then all the UI — build one complete feature path at a time:
**Bad (horizontal slicing):** ``` Task 1: Build entire database schema Task 2: Build all API endpoints Task 3: Build all UI components Task 4: Connect everything ```
**Good (vertical slicing):** ``` Task 1: User can create an account (schema + API + UI for registration) Task 2: User can log in (auth schema + API + UI for login) Task 3: User can create a task (task schema + API + UI for creation) Task 4: User can view task list (query + API + UI for list view) ```
Each vertical slice delivers working, testable functionality.
### Step 4: Write Tasks
Each task follows this structure, whether it lands in the markdown task list or as an item in an external tracker (see Output Files):
```markdown ## Task [N]: [Short descriptive title]
**Description:** One paragraph explaining what this task accomplishes.
**Acceptance criteria:** - [ ] [Specific, testable condition] - [ ] [Specific, testable condition]
**Verification:** - [ ] Tests pass: [the repository's focused-test command] - [ ] Build succeeds: [the repository's build command] - [ ] Manual check: [description of what to verify]
**Dependencies:** [Task numbers this depends on, or "None"]
**Files likely touched:** - `src/path/to/file.ts` - `tests/path/to/test.ts`
**Estimated scope:** [Small: 1-2 files | Medium: 3-5 files | Large: 5+ files] ```
### Step 5: Order and Checkpoint
Arrange tasks so that:
1. Dependencies are satisfied (build foundation first) 2. Each task leaves the system in a working state 3. Verification checkpoints occur after every 2-3 tasks 4. High-risk tasks are early (fail fast)
Add explicit checkpoints to the task list target:
```markdown ## Checkpoint: After Tasks 1-3 - [ ] All tests pass - [ ] Application builds without errors - [ ] Core user flow works end-to-end - [ ] Review with human before proceeding ```
## Task Sizing Guidelines
| Size | Files | Scope | Example | |------|-------|-------|---------| | **XS** | 1 | Single function or config change | Add a validation rule | | **S** | 1-2 | One component or endpoint | Add a new API endpoint | | **M** | 3-5 | One feature slice | User registration flow | | **L** | 5-8 | Multi-component feature | Search with filtering and pagination | | **XL** | 8+ | **Too large — break it down further** | — |
If a task is L or larger, it should be broken into smaller tasks. An agent performs best on S and M tasks.
**When to break a task down further:** - It would take more than one focused session (roughly 2+ hours of agent work) - You cannot describe the acceptance criteria in 3 or fewer bullet points - It touches two or more independent subsystems (e.g., auth and billing) - You find yourself writing "and" in the task title (a sign it is two tasks)
## Output Files
- **Plan document:** Save the implementation plan to `tasks/plan.md`. This is always a markdown file — design decisions, risks, and open questions don't map cleanly onto individual tracker issues. - **Task list:** Record each task in the **task list target** (defined below).
Create the `tasks/` directory if it does not exist.
**Never overwrite an incomplete plan.** Before writing `tasks/plan.md` or `tasks/todo.md`, check whether they already exist and still contain unchecked tasks:
- Same work being replanned (the user asked to revise or extend this plan) → update the existing files in place. - Different work → **stop and ask.** The unchecked tasks may be mid-build in another session. Do not delete, overwrite, or rename the existing files on your own; present the conflict and let the user decide (finish the old plan first, explicitly discard it, or tell you where the new plan should go).
The same rule applies to an external task list target: never bulk-close or delete another plan's open tracker items to make room for new ones.
### Task List Target
The task list target is where tasks and checkpoints are recorded. It is defined once, here; every other reference in this skill defers to it.
- **Default: a checklist-style markdown file at `tasks/todo.md`.** This is the convention the `/build` command and other downstream tooling expect. Use it unless the project says otherwise. - **External tracker:** if the project's agent rules (`CLAUDE.md`, `AGENTS.md`, etc.) or the user designate an issue tracker (e.g. GitHub Issues, Jira, Linear, `bd`/beads), create one tracker item per task instead of writing `tasks/todo.md`. Map the Step 4 structure onto the tracker's fields: acceptance criteria and verification steps in the item body, dependencies via the tracker's linking mechanism (`bd dep add`, "blocked by", etc.). Record Step 5 checkpoints as tracker items too, or as a checklist in the plan document if the tracker has no natural equivalent.
When using an external tracker, note it in `tasks/plan.md` (e.g. "Tasks tracked in Linear project FOO") so downstream steps and future sessions know where to look, and keep the plan document's Task List section as an ordered index of tracker item IDs or links rather than a duplicate checklist.
## Plan Document Template
```markdown # Implementation Plan: [Feature/Project Name]
## Overview [One paragraph summary of what we're building]
## Architecture Decisions - [Key decision 1 and rationale] - [Key decision 2 and rationale]
## Task List
### Phase 1: Foundation - [ ] Task 1: ... - [ ] Task 2: ...
### Checkpoint: Foundation - [ ] Tests pass, builds clean
### Phase 2: Core Features - [ ] Task 3: ... - [ ] Task 4: ...
### Checkpoint: Core Features - [ ] End-to-end flow works
### Phase 3: Polish - [ ] Task 5: ... - [ ] Task 6: ...
### Checkpoint: Complete - [ ] All acceptance criteria met - [ ] Ready for review
## Risks and Mitigations | Risk | Impact | Mitigation | |------|--------|------------| | [Risk] | [High/Med/Low] | [Strategy] |
## Open Questions - [Question needing human input] ```
When tasks live in an external tracker, keep the Task List section above as an ordered index of tracker item IDs or links instead of a duplicate checklist.
## Parallelization Opportunities
When multiple agents or sessions are available:
- **Safe to parallelize:** Independent feature slices, tests for already-implemented features, documentation - **Must be sequential:** Database migrations, shared state changes, dependency chains - **Needs coordination:** Features that share an API contract (define the contract first, then parallelize)
## Common Rationalizations
| Rationalization | Reality | |---|---| | "I'll figure it out as I go" | That's how you end up with a tangled mess and rework. 10 minutes of planning saves hours. | | "The tasks are obvious" | Write them down anyway. Explicit tasks surface hidden dependencies and forgotten edge cases. | | "Planning is overhead" | Planning is the task. Implementation without a plan is just typing. | | "I can hold it all in my head" | Context windows are finite. Written plans survive session boundaries and compaction. | | "The old `tasks/plan.md` is stale, I'll just replace it" | Unchecked tasks may be mid-build in another session. Overwriting them destroys work state that exists nowhere else. Stop and ask. |
## Red Flags
- Starting implementation without a written task list - Overwriting a `tasks/plan.md` or `tasks/todo.md` that still has unchecked tasks for different work, without asking - Writing `tasks/todo.md` when the project has designated an external tracker (or scattering tasks across both) - Tasks that say "implement the feature" without acceptance criteria - No verification steps in the plan - All tasks are XL-sized - No checkpoints between tasks - Dependency order isn't considered
## Verification
Before starting implementation, confirm:
- [ ] Every task has acceptance criteria - [ ] Every task has a verification step - [ ] Task dependencies are identified and ordered correctly - [ ] Tasks are recorded in the task list target (default `tasks/todo.md`) - [ ] No pre-existing incomplete plan was overwritten without explicit user confirmation - [ ] No task touches more than ~5 files - [ ] Checkpoints exist between major phases - [ ] The human has reviewed and approved the plan
## See Also
Acceptance criteria are per-task and answer "did we build the right thing?". They sit on top of the project-wide Definition of Done, the standing bar every task clears before it counts as done. See `../../references/definition-of-done.md`.
Source provenance
Decision snapshot
91,373 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for planning-and-task-breakdown, ready for a manual X post.
planning-and-task-breakdown: Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to br... 91.4K stars https://www.openagentskill.com/skills/addyosmani-planning-and-task-breakdown?ref=x
Listing + install path for planning-and-task-breakdown: https://www.openagentskill.com/skills/addyosmani-planning-and-task-breakdown?ref=x Install: npx skills add addyosmani/agent-skills --skill planning-and-task-breakdown
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Review then install
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256.3K StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness