create-tasks-decomposition

create-tasks-decomposition is a skill for Claude Code, Codex from tomzx/agents. It costs 23 tokens per session (2,010 once invoked), scanned A, original, MIT.

A workflow for breaking a feature or plan into separate actionable tasks. It records each task, estimated effort, and dependencies—the tasks that must happen first.

In plain words
What is it for?
Use it to create task files for an approved software plan, with sizes ranging from a small configuration change to larger multi-file work.
Why use it?
It turns a large implementation idea into smaller pieces that can be planned, ordered, and tracked.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/tomzx/agents/create-tasks-decomposition
Any agent
npx skills add tomzx/agents --skill create-tasks-decomposition
Clone the repo
git clone --depth 1 https://github.com/tomzx/agents

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for create-tasks-decomposition

README.md
[![agentmods](https://agentmods.dev/badge/skills/tomzx/agents/create-tasks-decomposition.svg)](https://agentmods.dev/skills/tomzx/agents/create-tasks-decomposition)
Your own site
<a href="https://agentmods.dev/skills/tomzx/agents/create-tasks-decomposition"><img src="https://agentmods.dev/badge/skills/tomzx/agents/create-tasks-decomposition.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,010 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00023 $0.02010
Opus 5 $0.00012 $0.01005
Sonnet 5 $0.00005 $0.00402
Haiku 4.5 $0.00002 $0.00201

Measured 3d ago against content hash ec5c6196d066, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

create-tasks-decomposition scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/create-tasks-decomposition/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create Tasks Decomposition

Breaks down a feature, plan, or specification into discrete, actionable tasks. Each task gets its own file under .sdlc/features/N-<slug>/tasks/ with a unique sequence number, frontmatter status, and explicit dependencies.

Prerequisites

  • Apply the shared SDLC conventions in skills/sdlc/references/shared.md.
  • If no argument is provided, locate the feature directory under .sdlc/features/ whose frontmatter issue field references $ISSUE_NUMBER.
  • .sdlc/features/N-<slug>/plan.md (unified) or .sdlc/features/N-<slug>/plan/index.md plus its plan/<concern>.md files (split) (must have passed review with findings verdict approved), or an implementation plan/specification provided in context or as a file path ($1)

Task Sizing Guidelines

Size Effort Description
XS < 2h Configuration change, single-file edit
S 0.5d Small feature, single component
M 1d Moderate feature, 2–5 files
L 2d Complex feature, multiple components
XL > 2d Must be broken down further

Tasks estimated XL must be decomposed into smaller tasks before being considered actionable.

Steps

  1. Resolve and read the plan: .sdlc/features/N-<slug>/plan.md (unified), otherwise .sdlc/features/N-<slug>/plan/index.md together with every plan/<concern>.md it lists (split), otherwise the specification or a file path ($1). For a split plan, decompose tasks across all concern files as one combined backlog (the tasks/ directory stays flat per feature, not per concern).
  2. Identify all units of work, targeting tasks completable in 0.5–2 days each.
  3. For each task, define: description, acceptance criteria, effort size, and dependencies on other tasks.
  4. Order tasks and assign sequence numbers starting at 1 within this feature.
  5. Identify the critical path through the dependency graph (the chain with the greatest total effort).
  6. Write one file per task to .sdlc/features/N-<slug>/tasks/N-<slug>.md, where N restarts at 1 for each feature.
  7. Output the summary: task table followed by a Mermaid dependency graph with the critical path highlighted (see Output Format below).

Read the full file on GitHub · 162 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 162 lines · 23 tokens per session scan A ec5c6196d066

Subscribe to this mod's changes

create-tasks-decomposition is a skill published in the GitHub repository tomzx/agents (5 stars, last pushed 6d ago), licensed MIT. It adds 23 tokens to every session and 2,010 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens