plan

plan is a skill for Claude Code from softspark/ai-toolkit. It costs 35 tokens per session (1,238 once invoked), scanned A, original, Apache-2.0.

A planning tool that turns a feature or goal into ordered phases, tasks, dependencies, and assigned agents. It writes a plan document without writing the implementation code.

In plain words
What is it for?
Use it to create implementation roadmaps for websites, web apps, APIs, mobile apps, and command-line tools.
Why use it?
It makes large work easier to organize and shows what must happen before each task.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the ai-toolkit plugin — 113 skills, 44 agents, 14 hooks shipped together

Good fit Use it to create implementation roadmaps for websites, web apps, APIs, mobile apps, and command-line tools.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/softspark/ai-toolkit/plan
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.

Any agent
npx skills add softspark/ai-toolkit --skill plan
Clone the repo
git clone --depth 1 https://github.com/softspark/ai-toolkit

Made for: Claude Code.

Or install ai-toolkit, the plugin that ships this one along with the rest of its 113 skills, 44 agents, 14 hooks.

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 plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/softspark/ai-toolkit/plan.svg)](https://agentmods.dev/skills/softspark/ai-toolkit/plan)
Your own site
<a href="https://agentmods.dev/skills/softspark/ai-toolkit/plan"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,238 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00035 $0.01238
Opus 5 $0.00017 $0.00619
Sonnet 5 $0.00007 $0.00248
Haiku 4.5 $0.00003 $0.00124

Measured 4d ago against content hash de617d13faa7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

plan 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 4d 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.

app/skills/plan/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Planning

$ARGUMENTS

Workflow

  1. Analyze scope: read the goal, scan relevant source files to understand current state
  2. Detect project type: match keywords to determine stack and primary agents (see table below)
  3. Break into phases: group tasks by dependency order (foundation, core, polish)
  4. Assign agents: map each task to the best-fit agent with explicit dependencies
  5. Write plan file: create {project-slug}.md in project root using templates/plan-template.md
  6. 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:

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.

Read the full file on GitHub · 103 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 4d ago First seen · 103 lines · 35 tokens per session scan A de617d13faa7

Subscribe to this mod's changes

plan is a skill published in the GitHub repository softspark/ai-toolkit (170 stars, last pushed yesterday), licensed Apache-2.0. It adds 35 tokens to every session and 1,238 once invoked, about $0.0002 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 2026-09-03.

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