doc-condenser
**DEPRECATED** — Modern Claude models condense and summarize technical documentation natively with comparable quality. The output…
Produces phased task boards from feature requests: dependency-mapped work items, parallelization flags, risk flags, edge cases, test matrices. Triggers on: "decompose this feature", "task breakdown with dependencies", "phased implementation plan", "work breakdown structure". NOT
Claude Code
$ npx -y skills add Mathews-Tom/armory --skill task-decomposer --agent claude-code
Codex
$ npx skills add Mathews-Tom/armory --skill task-decomposer -a codex -y
Cursor
$ npx skills add Mathews-Tom/armory --skill task-decomposer -a cursor -y
Gemini CLI
$ npx skills add Mathews-Tom/armory --skill task-decomposer -a gemini-cli -y
GitHub Copilot
$ npx skills add Mathews-Tom/armory --skill task-decomposer -a github-copilot -y
OpenCode
$ npx skills add Mathews-Tom/armory --skill task-decomposer -a opencode -y
Windsurf
$ npx skills add Mathews-Tom/armory --skill task-decomposer -a windsurf -y
name: task-decomposer
description: 'Produces phased task boards from feature requests: dependency-mapped work items, parallelization flags, risk flags, edge cases, test matrices. Triggers on: "decompose this feature", "task breakdown with dependencies", "phased implementation plan", "work breakdown structure". NOT for discovering which decisions are still open, use decision-map. NOT for effort estimates, use estimate-calibrator.'
metadata:
version: 1.1.2
category: development
tags: [task-breakdown, dependencies, planning, phased]
difficulty: intermediate
phase: plan
complements:
- decision-mapTransforms ambiguous feature requests into concrete, implementable task sequences: identifies acceptance criteria, decomposes into tracer-bullet vertical slices with effort sizing, maps dependencies and parallelization, enumerates edge cases, plans testing, labels HITL/AFK readiness, and flags risks — producing a ready-to-execute task board.
> **When to use this skill vs native decomposition:** The base model decomposes features > well in an ad-hoc format. Use this skill specifically when you need the structured output: > phased task tables with dependency mapping, parallelization flags, risk flags, and > integrated test strategy. If you just need a quick list of steps, ask directly without > invoking this skill.
| File | Contents | Load When | | -------------------------------------- | --------------------------------------------------------------- | ------------------------------- | | `references/decomposition-patterns.md` | Feature → task decomposition strategies, granularity guidelines | Always | | `references/edge-case-checklist.md` | Common edge case categories by domain (web, API, data, CLI) | Edge case identification needed | | `references/dependency-mapping.md` | Dependency graph construction, critical path identification | Multi-task breakdown | | `references/sizing-guide.md` | Effort estimation guidance (S/M/L), complexity indicators | Effort sizing needed |
Before decomposing, check for repo-local agent context:
Continue if these files are absent, but state that the plan is using inferred vocabulary.
1. **Extract the user-facing goal** — What does this feature enable the user to do? If unclear, state assumptions explicitly. 2. **Define acceptance criteria** — What must be true for this feature to be "done"? Express as testable statements: "User can X", "System does Y when Z." 3. **Identify non-functional requirements** — Performance, security, accessibility, backwards compatibility constraints. 4. **Clarify scope boundaries** — What is explicitly out of scope? State this to prevent scope creep during implementation.
Break the feature into tracer-bullet slices first, then split oversized slices into tasks. Each slice should deliver a narrow but complete path through the affected layers. Avoid horizontal breakdowns where one issue only creates schema, another only creates API, and another only creates UI unless the work is pure infrastructure.
| Granularity | Size | Example | | ----------- | ---------------------------------------------- | ---------------------------- | | Too coarse | "Build the search feature" | Not actionable | | Right level | "Exact-match product search returns results end-to-end" | Single PR, testable | | Too fine | "Import the search library" | Not independently meaningful |
**Right granularity test:** Each task should be completable in a single PR, testable in isolation, and deliverable independently. A completed vertical slice should be demoable or verifiable without waiting for unrelated slices.
Group tasks into phases:
| Phase | Purpose | Contains | | ----- | ------- | -------- | | Setup | Shared contracts or migrations that unblock slices | Types, schemas, fixtures | | Slice 1 | First end-to-end behavior | Minimal data, logic, API, UI/CLI path | | Slice N | Incremental capability | One user-visible behavior or operational capability | | Hardening | Cross-slice edge cases and quality gates | Performance, security, docs, cleanup |
Label each slice:
For each task, enumerate edge cases:
1. **Input boundaries** — Empty, null, maximum size, special characters 2. **State transitions** — Concurrent modification, interrupted operations 3. **Error conditions** — Network failures, invalid data, permission denied 4. **Backwards compatibility** — Existing data, existing API consumers
For each task, identify what to test:
| Test Level | What to Test | Who Writes | | ----------- | ------------------------------------- | ----------------------- | | Unit | Individual functions, pure logic | During implementation | | Integration | Component interactions, API endpoints | After integration pha
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