Agent skill

Plan

Breaks features/goals into phased plans with task lists, agent assignments, dependencies.

Apache-2.0Auto-check passedAgent Workflows

Install Plan

skills CLI

$ npx skills add softspark/ai-toolkit --skill plan -a claude-code

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

GitHub CLI

$ gh skill install softspark/ai-toolkit plan --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/softspark/ai-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/app/skills/plan .claude/skills/plan && 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/

Paste into Claude Code

Install the "plan" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/plan into .claude/skills/plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/softspark/ai-toolkit/tree/main/app/skills/plan

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add softspark/ai-toolkit --skill plan -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install softspark/ai-toolkit plan --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/app/skills/plan .agents/skills/plan && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "plan" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/plan into .agents/skills/plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add softspark/ai-toolkit --skill plan -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install softspark/ai-toolkit plan --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/app/skills/plan .cursor/skills/plan && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "plan" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/plan into .cursor/skills/plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/softspark/ai-toolkit.git --path app/skills/plan

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add softspark/ai-toolkit --skill plan -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install softspark/ai-toolkit plan --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/app/skills/plan .gemini/skills/plan && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "plan" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/plan into .gemini/skills/plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install softspark/ai-toolkit plan

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add softspark/ai-toolkit --skill plan -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/app/skills/plan .github/skills/plan && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "plan" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/plan into .github/skills/plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add softspark/ai-toolkit --skill plan -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install softspark/ai-toolkit plan --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/app/skills/plan .opencode/skills/plan && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "plan" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/plan into .opencode/skills/plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: plan
GitHub stars: 179
Token cost: ~1.3k tokens
SKILL.md length: 661 words
Files: 2
Skills in repo: 112
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Breaks features/goals into phased plans with task lists, agent assignments, dependencies.

Works in 6 steps: Analyze scope: read the goal, scan… → Detect project type: match keywords to… → Break into phases: group tasks by… → …
Tasks that involve Task breakdown
SKILL.md covers Workflow, Project Type Detection, Planning Constraints and KB Integration, plus 5 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Plan is an agent skill from softspark/ai-toolkit. Breaks features/goals into phased plans with task lists, agent assignments, dependencies. Triggers: plan feature, implementation roadmap, break down task, project phases.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `templates/plan-template.md`).

It sits in Agent Workflows, covering Task breakdown. The repository describes itself as: Professional-grade AI coding toolkit: 94 skills, 44 agents, multi-platform (Claude, Cursor, Windsurf, Copilot, Gemini, Cline, Roo Code, Aider, Augment, Antigravity, Codex CLI… The licence is Apache-2.0.

When your agent uses it

Tasks that involve Task breakdown

Example prompts

“Use the plan skill to break features/goals into phased plans with task lists, agent assignments, dependencies”
“/plan”

Requirements

Python 3
Pre-approved tools (allowed-tools): Read, Grep, Glob

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

Analyze scope: read the goal, scan relevant source files to understand current state
Detect project type: match keywords to determine stack and primary agents (see table below)
Break into phases: group tasks by dependency order (foundation, core, polish)
Assign agents: map each task to the best-fit agent with explicit dependencies
Write plan file: create {project-slug}.md in project root using templates/plan-template.md
Validate: confirm every requirement maps to at least one task, no circular dependencies exist, and success criteria are measurable

What it can do on your machine

Read from SKILL.md and the folder at commit d64db2b. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
- Read
- Grep
- Glob
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
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

Plan loads about 1.3k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 661 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~44
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from softspark/ai-toolkit at commit d64db2b, republished under its Apache-2.0 licence (© softspark). 661 words, ~1,309 tokens.

Download SKILL.mdSave it as .claude/skills/plan/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: plan
description: Breaks features/goals into phased plans with task lists, agent assignments, dependencies. Triggers: plan feature, implementation roadmap, break down task, project phases.
allowed-tools: Read, Grep, Glob
user-invocable: true
effort: high
argument-hint: [goal]

Project Planning

$ARGUMENTS

Workflow

Analyze scope: read the goal, scan relevant source files to understand current state
Detect project type: match keywords to determine stack and primary agents (see table below)
Break into phases: group tasks by dependency order (foundation, core, polish)
Assign agents: map each task to the best-fit agent with explicit dependencies
Write plan file: create {project-slug}.md in project root using templates/plan-template.md
Validate: confirm every requirement maps to at least one task, no circular dependencies exist, and success criteria are measurable

Project Type Detection

Keywords	Type	Primary Agents
landing, website	Static Site	frontend-specialist
dashboard, admin	Web App	frontend + backend
api, rest, graphql	API Only	backend-specialist
mobile, ios, android	Mobile	mobile-developer
cli, terminal	CLI Tool	backend-specialist

Planning Constraints

Create plan documents only, NO code writing, NO file creation (except the plan)
Each task must name affected file(s) and a single owning agent
Phases must have explicit dependency edges (Phase 1 -> Phase 2)
Success criteria must be verifiable (command to run, expected output, or observable behavior)

KB Integration

Before planning:

python

smart_query("project template: {type}")
hybrid_search_kb("architecture {pattern}")

Estimation & Templates

T-shirt sizing (use for >1 day work)

Size	Effort	Example
XS	<2h	typo, add field
S	2-4h	simple component, basic API
M	1-2 days	feature with tests
L	3-5 days	complex feature
XL	1-2 weeks	major subsystem

Avoid hour-precise estimates beyond a week — they are false confidence (cone of uncertainty: 4× variance at idea, 1.5× at design).

SMART tasks vs phase outcomes

Plan-level tasks should be phase-aligned outcomes ("authentication ships behind a feature flag"), not SMART implementation steps ("add JWT middleware"). The latter belongs in the issue tracker after /prd-to-issues.

Pre-mortem (mandatory for >1 day plans)

List ≥5 named failure modes with mitigation. A 2-bullet pre-mortem is theater. Risk register cap: 10 entries ranked by (probability × impact); below line 10 is noise.

Plan approved? -> /orchestrate or /workflow to execute with agents
Need requirements first? -> /write-a-prd for structured product requirements
Want to stress-test the plan? -> /grill-me for Socratic questioning
Ready to break into issues? -> /prd-to-plan -> /triage-issue

Rules

MUST break work into phases where each phase is independently shippable (tracer-bullet discipline) — waterfall phases defer all risk to the end
MUST define measurable success criteria per phase before proposing tasks — "the user is happy" is not a criterion
NEVER write code in this skill — the output is a plan document, not a patch
NEVER invent an agent; every task lists a real agent from app/agents/ or a real skill from app/skills/ with a reason for the choice
CRITICAL: every phase has an explicit rollback or scope-cut option. A plan with no way to stop mid-project is a sunk-cost trap.
MANDATORY: dependencies between phases are explicit edges (Phase 1 → Phase 2). Circular dependencies are always a planning bug, not a valid state.

Show full SKILL.md (203 more words)Show less

Gotchas

"SMART" tasks are often too small to be strategic and too vague to be tactical. Tasks at the plan level should be phase-aligned outcomes ("authentication ships behind a feature flag"), not implementation steps ("add JWT middleware").
Agent assignment drifts during execution — the agent named in the plan may be unavailable or wrong when the work starts. Document the role (backend-specialist) alongside the assigned agent, so a substitute is unambiguous.
Plans that start with a Research phase often consume 80% of the timeline without producing shippable output. If research is truly needed, cap it with a timebox and a concrete artifact (ADR, spike doc).
Dependency graphs with diamond patterns (A→B, A→C, B→D, C→D) silently serialize D. If parallel phases feel slow, check for an unintended diamond.
Success criteria based on code metrics (coverage, lint count) incentivize gaming them. Prefer user-facing criteria (p95 latency, first-time-success rate on the happy path).

When NOT to Use

For writing a PRD (product requirements) first — use /write-a-prd
For breaking a PRD into phases — use /prd-to-plan
For filing issues against a plan — use /prd-to-issues
For stress-testing an existing plan — use /grill-me
For executing a plan with agents — use /orchestrate or /workflow
For a refactor with incremental commits — use /refactor-plan

Files

SKILL.md and 1 other file in app/skills/plan of softspark/ai-toolkit.

SKILL.md
templates/plan-template.md

Open the folder on GitHubat commit d64db2b

Compare with similar skills

Plan 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.

Plan compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Plan this skillsoftspark/ai-toolkit	179	—	~1.3k	Automated safety check: Pass	Apache-2.0	today
Multi-Role Spec and Task Breakdownmylukin/agent-foreman	250	—	~5.1k	Automated safety check: Notes	None	8 mo ago
Scope KnifeMAGA2010/hackathon-run	349	—	~1.3k	Automated safety check: Pass	MIT	3 days ago
Wayfinder Planning Mapsrengwu/wayfinder-maps	134	—	~3.5k	Automated safety check: Pass	MIT	yesterday
Roadmap Generatoralirezarezvani/claude-cto-team	117	—	~1.9k	Automated safety check: Pass	MIT	9 mo ago
Autospec Tasksariel-frischer/autospec	144	—	~2.5k	Automated safety check: Pass	MIT	9 days ago

Similar skills

Multi-Role Spec and Task Breakdown
mylukin/agent-foreman
Runs a requirement through four research-backed specialist agents, a PM, a UX designer, a tech architect and QA, to produce implementable tasks.
250 GitHub stars~5.1k tokensUpdated 8 mo ago
Agent WorkflowsAuto-check: notes
Scope Knife
MAGA2010/hackathon-run
Forces a KEEP, CUT, or DEFER decision on every feature when scope is too large, no MVP consensus exists, or time is running out.
349 GitHub stars~1.3k tokensUpdated 3 days ago
Agent WorkflowsAuto-check passed
Wayfinder Planning Maps
rengwu/wayfinder-maps
Plans work too big for one agent session as a shared map of investigation tickets, resolved one at a time until the route to the destination is clear.
134 GitHub stars~3.5k tokensUpdated yesterday
Agent WorkflowsAuto-check passed
Roadmap Generator
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Generate phased implementation roadmaps with Epic/Story/Task breakdown, effort estimates, and validation checkpoints.
117 GitHub stars~1.9k tokensUpdated 9 mo ago
Agent WorkflowsAuto-check passed
Autospec Tasks
ariel-frischer/autospec
Generate YAML task breakdown from implementation plan. An agent skill from ariel-frischer/autospec.
144 GitHub stars~2.5k tokensUpdated 9 days ago
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Questions about Plan

What does Plan do?

Breaks features/goals into phased plans with task lists, agent assignments, dependencies. Plan is an agent skill from softspark/ai-toolkit. Breaks features/goals into phased plans with task lists, agent assignments, dependencies.

When should I use Plan?

Plan fits situations like: tasks that involve Task breakdown.

How do I install Plan in Claude Code?

Run `npx skills add softspark/ai-toolkit --skill plan -a claude-code`. Or copy the skill folder (app/skills/plan in softspark/ai-toolkit) into .claude/skills/plan in your project. Claude Code loads it when a task matches its description.

How do I install Plan in Codex?

Run `npx skills add softspark/ai-toolkit --skill plan -a codex`. Or copy the skill folder (app/skills/plan in softspark/ai-toolkit) into .agents/skills/plan in your project. Codex loads it when a task matches its description.

Can I use Plan 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 softspark/ai-toolkit --skill plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/plan, .gemini/skills/plan, .github/skills/plan and .opencode/skills/plan in your project.

What does Plan need to run?

SKILL.md names no scripts, command-line tools or credentials: Plan is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Grep, Glob.

Does Plan 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 Plan 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. Review the folder before installing.

What licence does Plan use?

Plan is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Plan use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Plan?

Skills that share tags, products or a category with Plan: Multi-Role Spec and Task Breakdown (mylukin/agent-foreman, 250 stars), Scope Knife (MAGA2010/hackathon-run, 349 stars), Wayfinder Planning Maps (rengwu/wayfinder-maps, 134 stars) and Roadmap Generator (alirezarezvani/claude-cto-team, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Plan?

softspark (a GitHub user) maintains it in softspark/ai-toolkit, which has 179 GitHub stars. The repository holds 112 skills in this directory. The repository was last updated on October 7, 2026.

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

Install Plan

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Project Planning

Workflow

Project Type Detection

Planning Constraints

KB Integration

Estimation & Templates

T-shirt sizing (use for >1 day work)

SMART tasks vs phase outcomes

Pre-mortem (mandatory for >1 day plans)

Related Skills

Rules

Gotchas

When NOT to Use

Files

Compare with similar skills

Similar skills

More from softspark/ai-toolkit

Related

Questions about Plan