epic-decompose
Skill0 starsChanged 56 days agoApache-2.0View on GitHub
Use when breaking down a large feature (epic) into independently deliverable tasks. Produces a sequenced task list with dependencies, acceptance criteria, and size estimates.
In this repository23 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/CLAUDE.mdCLAUDE.md
- llms.txtllms.txt
- architect-reviewSkill
- brainstormingSkill
- clean-codeSkill
- close-gold-gapSkill
- codebase-auditSkill
- configureSkill
- context-rot-managementSkill
- gold-auditSkill
- impactSkill
- levelupSkill
- product-acceptanceSkill
- refutationSkill
- senior-surveySkill
- ssot-navigationSkill
- tabletopSkill
- tddSkill
- understand-codeSkill
- verificationSkill
- visual-verificationSkill
- wave-drainSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 21
Read the epic description carefully.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 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
Epic Decompose
Purpose: Break a large feature into independently shippable tasks.
Step 1: Understand the Epic
Read the epic description carefully. Identify:
- The user-visible outcome
- The technical surface area (which layers are affected)
- External dependencies (third-party APIs, migrations, infra changes)
- Risk areas (security, performance, backwards compatibility)
Step 2: Identify Seams
Find natural boundaries where the work can be split:
- Vertical slices — thin end-to-end slices (preferred)
- Horizontal layers — domain first, then API, then UI
- Data migrations — always a separate task, run before or after code
Step 3: Sequence Tasks
Order tasks by:
- Foundation first (data models, migrations, shared types)
- Core behavior second (business logic, domain layer)
- Integration third (API endpoints, event handlers)
- UI/UX last (if applicable)
- Cleanup/polish (dead code removal, documentation)
Step 4: Write Task Briefs
For each task:
### Task N: <title>
**Goal:** <one sentence — what does this task deliver?>
**Depends on:** Task N-1 (or "none")
**Acceptance criteria:**
- [ ] <testable criterion 1>
- [ ] <testable criterion 2>
**Size:** XS / S / M / L
**Risk:** Low / Medium / High
**Notes:** <edge cases, gotchas, open questions>Size Reference
| Size | Scope |
| XS | < 1 hour, 1-2 files |
| S | Half day, 3-5 files |
| M | 1-2 days, 5-10 files |
| L | 3-5 days, 10+ files or multiple layers |
Tasks larger than M should be split further.
Output Format
## Epic: <title>
**Summary:** <2-3 sentences>
**Total tasks:** <N>
**Estimated total:** <size>
### Tasks
<task briefs in sequence>
### Open Questions
- <question 1>
- <question 2>Does it work?
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Your trail
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Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

