story-decomposition
Use when a large task needs to be broken into independent, verifiable stories with pass/fail acceptance criteria
Skill by thesyntaxninja
Chalk Labs
Need help deploying story-decomposition?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/thesyntaxninja-story-decomposition
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/story-decomposition
What's inside
- Skill name
story-decomposition- Description
- Use when a large task needs to be broken into independent, verifiable stories with pass/fail acceptance criteria
- License
- MIT
- Instructions
- 97 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Story Decomposition ## Quick Reference Break a large task into independent stories. Each story must be completable in one context window, have pass/fail acceptance criteria, and be verifiable in isolation. ## When to Use - Task is too large for one context window - `writing-plans` identified the need for decomposition - Ralph loop escalation is being prepared - User asks to break work into stories or chunks ## When NOT to Use - Task fits in one session (just use `executing-plans`) - Task can't be decomposed into independent pieces - Exploratory work with no clear deliverables ## Core Process ### Step 1: Understand the Full Scope Before decomposing: 1. Read the plan or requirements thoroughly 2. Identify all deliverables 3. Map dependencies between pieces of work 4. Identify the critical path ### Step 2: Identify Story Boundaries Good stories have these properties: - **Independent**: Can be implemented without other stories being done first (or with minimal, explicit dependencies) - **Verifiable**: Has a concrete test or check that proves it works - **Small enough**: Completable in one context window (~one focused session) - **Valuable alone**: Delivers something useful even if other stories aren't done yet ### Step 3: Write Stories Each story follows this format: ```markdown ## Story N: <Title> **Goal**: [One sentence — what this delivers] **Dependencies**: [Story numbers that must complete first, or "none"] **Files**: - `path/to/file.ts` — [what changes] **Acceptance Criteria**: - [ ] [Concrete, verifiable condition] - [ ] [Another condition] **Verification Command**: ```bash # The exact command(s) to prove this story passes npm test -- --grep "story-related-tests" ``` ``` ### Step 4: Order Stories 1. Foundation stories first (types, interfaces, schemas) 2. Core logic second (business rules, data layer) 3. Integration third (wiring pieces together) 4. Polish last (error handling, edge cases, UI refinement) Stories with no dependencies can run in any order. ### Step 5: Validate the Decomposition Check: - [ ] Every deliverable from the original plan is covered by at least one story - [ ] No story is too large (>200 lines of changes is a red flag) - [ ] Dependencies form a DAG (no circular dependencies) - [ ] Each story's acceptance criteria are objectively pass/fail - [ ] The verification command actually tests what the story claims ## Anti-Patterns | Anti-Pattern | Why It's Wrong | |--------------|----------------| | Stories that depend on everything | Not independent. Reorder or merge. | | "And then do the rest" as a story | Not decomposed. Break it down further. | | Acceptance criteria like "works correctly" | Not verifiable. What does "correctly" mean? | | Stories without verification commands | How does the loop know it passed? | | 20+ stories for a medium task | Over-decomposed. Merge related work. | | Stories that touch the same files | Will cause conflicts in parallel execution. | ## Chaining REQUIRED: syntaxninja-dojo:ralph-loop (when stories feed into a training loop) OPTIONAL: syntaxninja-dojo:prd-generator (to produce the formal PRD document)
From thesyntaxninja/syntaxninja-dojo, MIT.
More from thesyntaxninja/syntaxninja-dojo
- 0.443score
receiving-code-review
thesyntaxninja
Use when receiving code review feedback — requires technical verification of each suggestion before implementing, not blind agreement
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
requesting-code-review
thesyntaxninja
Use when implementation is complete and a comprehensive code review is needed — dispatches parallel review agents and merges findings
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
executing-plans
thesyntaxninja
Use when an approved plan exists and implementation should begin — executes steps sequentially with verification checkpoints
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
propose-skill-update
thesyntaxninja
Use when 3+ distinct occurrences suggest a skill should be updated with a new trigger, anti-pattern, or verification step
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
ralph-loop
thesyntaxninja
Use when task scope exceeds one context window and decomposes into independent pass/fail stories with clean iteration boundaries
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
self-review
thesyntaxninja
Use when implementation is complete and verification has passed — dispatches the sensei agent for fresh-context quality review
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
subagent-driven-development
thesyntaxninja
Use when executing an implementation plan with independent tasks that can be delegated to subagents within the current session
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
verification-before-completion
thesyntaxninja
Use when about to claim work is complete, fixed, or passing — requires running verification commands and confirming output before making any success claims
SkillDFreshness: D★ 2Claude Code +9 - 0.442score
prd-generator
thesyntaxninja
Use when a structured PRD document is needed for the ralph loop — generates prd.json and progress.txt
SkillDFreshness: D★ 2Claude Code +9 - 0.442score
writing-plans
thesyntaxninja
Use when a task requires multiple steps and benefits from a structured plan before implementation begins
SkillDFreshness: D★ 2Claude Code +9 - 0.442score
brainstorming
thesyntaxninja
Use when requirements are unclear, ambiguous, or have multiple valid interpretations — before planning or implementing
SkillDFreshness: D★ 2Claude Code +9 - 0.442score
compound-docs
thesyntaxninja
Use when a hard problem was just solved and the solution should be captured as a learning for future reference
SkillDFreshness: D★ 2Claude Code +9
Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 4, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from thesyntaxninja
- 0.443score
ralph-loop
thesyntaxninja
Use when task scope exceeds one context window and decomposes into independent pass/fail stories with clean iteration boundaries
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
executing-plans
thesyntaxninja
Use when an approved plan exists and implementation should begin — executes steps sequentially with verification checkpoints
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
requesting-code-review
thesyntaxninja
Use when implementation is complete and a comprehensive code review is needed — dispatches parallel review agents and merges findings
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
propose-skill-update
thesyntaxninja
Use when 3+ distinct occurrences suggest a skill should be updated with a new trigger, anti-pattern, or verification step
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
receiving-code-review
thesyntaxninja
Use when receiving code review feedback — requires technical verification of each suggestion before implementing, not blind agreement
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
self-review
thesyntaxninja
Use when implementation is complete and verification has passed — dispatches the sensei agent for fresh-context quality review
SkillDFreshness: D★ 2Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get story-decomposition running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
story-decomposition skill. Agent Mart. https://agentmart.dev/skills/thesyntaxninja-story-decomposition (last updated 2026-10-24)