Agent skill

Sdd Work Decomposition

by magnus919 in magnus919/hermes-profiles

SDD work decomposition — translates formal specifications into dependency-aware task plans with per-task acceptance criteria.

MITAuto-check passedProduct & Project Management

Install Sdd Work Decomposition

skills CLI
$ npx skills add magnus919/hermes-profiles --skill sdd-work-decomposition -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install magnus919/hermes-profiles sdd-work-decomposition --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/magnus919/hermes-profiles.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sdd-work-decomposition .claude/skills/sdd-work-decomposition && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sdd-work-decomposition
GitHub stars
282
Token cost
~1.4k tokens
SKILL.md length
637 words
Files
6 (incl. scripts, references)
Skills in repo
31
Repo updated
First seen
Licence
MIT

At a glance

SDD work decomposition — translates formal specifications into dependency-aware task plans with per-task acceptance criteria.

  • A reviewed specification needs to be broken into implementable tasks
  • SKILL.md covers SDD Pipeline Position, Core Principle: Spec Is the Plan, Artifact-Pyramid Output:… and Loading Guidance, plus 2 more sections
  • Runs Shell scripts from its folder
  • Tasks that involve User stories

What it does

Sdd Work Decomposition is an agent skill from magnus919/hermes-profiles. SDD work decomposition — translates formal specifications into dependency-aware task plans with per-task acceptance criteria. Owns the mapping from specification to executable work units, producing artifact-pyramid-compliant TASK-PLAN.md outputs. Trigger when a reviewed specification needs to be broken into implementable tasks.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/claude-dot-md-as-spec-layer.md`, `references/dependency-mapping.md` and `references/task-decomposition-methodology.md`).

It sits in Product & Project Management, covering User stories. The repository describes itself as: Curated Hermes Agent profiles for specialist swarms — opinionated, Hermes-optimized, artifact-pyramid native. The licence is MIT.

When your agent uses it

  • A reviewed specification needs to be broken into implementable tasks
  • Tasks that involve User stories

Example prompts

  • “/sdd-work-decomposition”

Requirements

  • A Bash shell

What it can do on your machine

Read from SKILL.md and the folder at commit 867a555. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Shell), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sdd Work Decomposition loads about 1.4k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 88 tokens; SKILL.md has 637 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from magnus919/hermes-profiles at commit 867a555, republished under its MIT licence (© magnus919). 637 words, ~1,384 tokens.

Download SKILL.mdSave it as .claude/skills/sdd-work-decomposition/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
sdd-work-decomposition
description
SDD work decomposition — translates formal specifications into dependency-aware task plans with per-task acceptance criteria. Owns the mapping from specification to executable work units, producing artifact-pyramid-compliant TASK-PLAN.md outputs. Trigger when a reviewed specification needs to be broken into implementable tasks.
version
1.0.0
author
Hermes Agent community
license
MIT

SDD Work Decomposition

Translating a reviewed, approved specification into an executable sequence of tasks with explicit dependencies, per-task acceptance criteria, and integration directives for the implementation agent.

SDD Pipeline Position

SPECIFY → [PLAN] → TASKS → IMPLEMENT → VERIFY
              ↑
        You are here

This skill bridges the gap between what to build (the spec) and how to build it in independent, verifiable units. It produces both the human-readable task plan and the CLAUDE.md / AGENTS.md content that drives the implementation agent.

Core Principle: Spec Is the Plan

This skill does not invent a plan from scratch. It extracts the plan from the specification. The spec already defines the behavior the system must exhibit — each behavior maps to a task. Every task traces to a specific section of SPEC.md. There is no work in the plan that is not required by the spec, and no requirement in the spec that is not addressed by at least one task.

This is what distinguishes SDD decomposition from general-purpose project planning. The planner does not ask "what work needs to happen?" — the spec already answered that. The planner asks "how do we sequence and package this work for safe execution?"

Artifact-Pyramid Output: TASK-PLAN.md

The task plan follows the artifact-pyramid structure:

LayerContentFile
L1Phase overview — total task count, critical path estimate, key dependencies, recommended execution order00-index.md (entry point)
L2Task groups by phase or feature area — dependency graph, per-group acceptance criteria derived from spec sectionsIndividual *.phase.md files
L3Individual task cards — each with spec-derived ACs, estimated complexity, preconditions, CLAUDE.md directivestasks/ directory
SOURCESCross-reference from each task to the SPEC.md section it implementsFooter of each file

Loading Guidance

ReferenceWhen to loadFile
Task Decomposition MethodologyBefore writing any task plan — patterns for spec-to-task extraction, sizing, atomicityreferences/task-decomposition-methodology.md
Dependency MappingSequencing tasks with real constraints — spec-derived dependency chains, not guessworkreferences/dependency-mapping.md
CLAUDE.md as Spec LayerAfter producing the task plan — generating CLAUDE.md directives for the implementation agentreferences/claude-dot-md-as-spec-layer.md
TemplateWhen to useFile
TASK-PLAN.mdProducing the full task plan from a reviewed specificationtemplates/TASK-PLAN.md
ScriptWhen to runFile
spec-to-tasks.shAfter authoring a TASK-PLAN.md — validates every spec requirement has a covering taskscripts/spec-to-tasks.sh

Trigger Conditions

Invoke this skill when:

  • A reviewed, approved specification needs to be broken into executable tasks
  • An existing task plan needs restructuring because discovered dependencies invalidated the original sequencing
  • Multiple specifications exist for a coordinated release and need cross-spec dependency resolution
  • An implementation agent needs a CLAUDE.md or AGENTS.md generated from the spec and task plan
Show full SKILL.md (231 more words)Show less

Decomposition Rules

Atomicity

Each task must be independently implementable and verifiable. The test: if a task is completed but its acceptance criteria can't be checked until another task also completes, the tasks are not atomic — merge them or redefine their boundaries.

Spec Traceability

Every task body MUST include a Spec: -- section X reference back to the SPEC.md section that defines its requirements. This is not optional metadata — it is the mechanism that prevents scope drift during implementation.

Task Size

No task should exceed one session of implementation work (typically 30-120 minutes for an AI coding agent, depending on complexity). Tasks larger than this signal that the spec section is too coarse and needs refinement. Decompose the spec section further before decomposing the task.

Dependency Honesty

Record only real, spec-derived dependencies. A dependency is real when: task B requires task A's output (a function signature, a data structure, a schema, a module interface) that B cannot stub or mock. Dependencies that can be satisfied by a contract or interface definition are NOT real dependencies — define the contract in the spec instead.

The CLAUDE.md Handoff

After the task plan is complete, this skill generates the CLAUDE.md directives that the implementation agent reads. These directives include:

  • Which SPEC.md sections and task plan files to load
  • The execution order and dependency constraints
  • The acceptance criteria format expected by verification
  • The escalation protocol for spec ambiguities

© magnus919, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/sdd-work-decomposition of magnus919/hermes-profiles.

  • SKILL.md
  • references/claude-dot-md-as-spec-layer.md
  • references/dependency-mapping.md
  • references/task-decomposition-methodology.md
  • scripts/spec-to-tasks.sh
  • templates/TASK-PLAN.md

Open the folder on GitHubat commit 867a555

Compare with similar skills

Sdd Work Decomposition next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Sdd Work Decomposition compared with similar skills
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Sdd Work Decomposition this skillmagnus919/hermes-profiles282—~1.4kAutomated safety check: PassMIT
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Feature ForgeJeffallan/claude-skills12k—~1.1kAutomated safety check: PassMIT
Refactor Design Reportpenwyp/ClaudePreference136—~1.4kAutomated safety check: PassMIT
Spec WorkflowTencentCloudBase/CloudBase-AI-Toolkit1.1k2 repos~1.3kAutomated safety check: PassMIT
Cas Supervisor Checklistcodingagentsystem/cas176—~349Automated safety check: PassMIT

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Questions about Sdd Work Decomposition

What does Sdd Work Decomposition do?

SDD work decomposition — translates formal specifications into dependency-aware task plans with per-task acceptance criteria. Sdd Work Decomposition is an agent skill from magnus919/hermes-profiles. SDD work decomposition — translates formal specifications into dependency-aware task plans with per-task acceptance criteria.

When should I use Sdd Work Decomposition?

Sdd Work Decomposition fits situations like: A reviewed specification needs to be broken into implementable tasks; tasks that involve User stories.

How do I install Sdd Work Decomposition in Claude Code?

Run `npx skills add magnus919/hermes-profiles --skill sdd-work-decomposition -a claude-code`. Or copy the skill folder (skills/sdd-work-decomposition in magnus919/hermes-profiles) into .claude/skills/sdd-work-decomposition in your project. Claude Code loads it when a task matches its description.

How do I install Sdd Work Decomposition in Codex?

Run `npx skills add magnus919/hermes-profiles --skill sdd-work-decomposition -a codex`. Or copy the skill folder (skills/sdd-work-decomposition in magnus919/hermes-profiles) into .agents/skills/sdd-work-decomposition in your project. Codex loads it when a task matches its description.

Can I use Sdd Work Decomposition in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add magnus919/hermes-profiles --skill sdd-work-decomposition -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sdd-work-decomposition, .gemini/skills/sdd-work-decomposition, .github/skills/sdd-work-decomposition and .opencode/skills/sdd-work-decomposition in your project.

What does Sdd Work Decomposition need to run?

Going by SKILL.md and its folder, Sdd Work Decomposition needs a shell for the scripts in its folder. Our summary lists: A Bash shell.

Does Sdd Work Decomposition access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sdd Work Decomposition safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Sdd Work Decomposition use?

Sdd Work Decomposition is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sdd Work Decomposition use?

About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.

What are the alternatives to Sdd Work Decomposition?

Skills that share tags, products or a category with Sdd Work Decomposition: Project Planner (adrianpuiu/claude-skills-marketplace, 100 stars), Feature Forge (Jeffallan/claude-skills, 12k stars), Refactor Design Report (penwyp/ClaudePreference, 136 stars) and Spec Workflow (TencentCloudBase/CloudBase-AI-Toolkit, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sdd Work Decomposition?

magnus919 (a GitHub user) maintains it in magnus919/hermes-profiles, which has 282 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on June 27, 2026.

Source: magnus919/hermes-profiles on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.