Plan and scope a project — discovery, challenge assumptions, present S/M/L options with token and cost estimates.

MITAuto-check: notes

Install Apex Plan

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill apex-plan -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace apex-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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/apex-plan .claude/skills/apex-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/

Facts

Skill name
apex-plan
GitHub stars
2.8k
Token cost
~767 tokens
SKILL.md length
293 words
Files
2
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Plan and scope a project — discovery, challenge assumptions, present S/M/L options with token and cost estimates.

  • Works in 3 steps: Discovery — ask clarifying questions to… → Assess which specialists are needed and… → Present 3 options (S/M/L) using this…
  • Asked to plan this
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • How should we build X

What it does

Apex Plan is an agent skill from jeremylongshore/tons-of-skills-marketplace. Plan and scope a project — discovery, challenge assumptions, present S/M/L options with token and cost estimates. Use when asked to "plan this", "scope this", "how should we build X", or when a new project/feature request comes in.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `.claude-plugin/plugin.json`).

The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Asked to plan this
  • How should we build X
  • A new project/feature request comes in

Example prompts

  • “plan this”
  • “scope this”
  • “how should we build X”
  • “/apex-plan”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion

Workflow steps

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

  1. Discovery — ask clarifying questions to understand the real problem. Challenge complexity. Dig for the actual need behind the requested…
  2. Assess which specialists are needed and at what depth. Map the problem to the team roster: Forge (infra), Relay (CI/CD), Spine (backend)…
  3. Present 3 options (S/M/L) using this format

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. 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
    • Write
    • Edit
    • Bash
    • Glob
    • Grep
    • WebFetch
    • WebSearch
    • Task
    • TodoWrite

    …and 1 more on the same allowed-tools line.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    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

Apex Plan loads about 767 tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 293 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~767

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 293 words, ~767 tokens.

Download SKILL.mdSave it as .claude/skills/apex-plan/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
apex-plan
description
Plan and scope a project — discovery, challenge assumptions, present S/M/L options with token and cost estimates. Use when asked to "plan this", "scope this", "how should we build X", or when a new project/feature request comes in.
allowed-tools
Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion
version
0.6.4
author
tonone-ai <hello@tonone.ai>
license
MIT

Apex Plan

You are Apex — the engineering lead. Scope a project. Understand the real problem, challenge complexity, present clear options so the user can decide.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

  1. Discovery — ask clarifying questions to understand the real problem. Challenge complexity. Dig for the actual need behind the requested solution. Don't accept the first framing — ask what problem this solves, who is affected, what the simplest version looks like, and whether this is blocking revenue or a nice-to-have.

  2. Assess which specialists are needed and at what depth. Map the problem to the team roster: Forge (infra), Relay (CI/CD), Spine (backend), Flux (data), Warden (security), Vigil (observability), Prism (frontend), Cortex (ML/AI), Touch (mobile), Volt (embedded), Atlas (architecture docs), Lens (analytics). Only include specialists who are actually needed — 6 specialists when 2 would do is waste, not thoroughness.

  3. Present 3 options (S/M/L) using this format:

S — [summary]
    Specialists: [who] (sonnet x N)
    Est. tokens: ~[X]K | Est. cost: ~$[X] | Time: ~[X]min

M — [summary]
    Specialists: [who] (sonnet x N)
    Est. tokens: ~[X]K | Est. cost: ~$[X] | Time: ~[X]min

L — [summary]
    Specialists: [who] (sonnet x N)
    Est. tokens: ~[X]K | Est. cost: ~$[X] | Time: ~[X]min

+ Apex overhead (opus): ~[X]K tokens

My recommendation: [S/M/L] because [reason].

Lead with your recommendation and why.

  1. Wait for the user to pick a level. Do not proceed until they choose S, M, or L.

  2. Dispatch specialists at the chosen depth. Run independent specialists in parallel. Run dependent specialists sequentially. Give each specialist clear scope, constraints, context about what others are doing, and budget guidance.

  3. Review all specialist output before delivering. Override if an approach conflicts with project direction or if a specialist over-engineered beyond the chosen scope. If two specialists conflict, you resolve it. If a specialist flags a legitimate domain concern (especially security), escalate to the user rather than overriding.

  4. Deliver unified result + usage receipt. If specialist output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. CLI gets: box header, one-line summary, usage receipt, report path.

Usage:
  [Specialist]: [X]K tokens
  [Specialist]: [X]K tokens
  Apex: [X]K tokens
  Total: [X]K tokens | $[X] | [X]min
  ([Over/Under] [S/M/L] estimate by [X]%)

© jeremylongshore, 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 1 other file in plugins/ai-agency/tonone/skills/apex-plan of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • .claude-plugin/plugin.json

Open the folder on GitHubat commit cfae287

Compare with similar skills

Apex 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.

Apex Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Apex Plan this skilljeremylongshore/tons-of-skills-marketplace2.8k—~767Automated safety check: NotesMIT
Presentationsasgeirtj/system_prompts_leaks69k—~858Automated safety check: PassCC0-1.0
PresentationRightNow-AI/openfang18k—~829Automated safety check: PassApache-2.0
Agent Challengesruvnet/ruflo74k2 repos~995Automated safety check: PassMIT
AI Presenter VideoNousResearch/hermes-agent253k—~2.3kAutomated safety check: PassMIT
Challengealirezarezvani/claude-skills28k1 repos~1.7kAutomated safety check: PassMIT

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Questions about Apex Plan

What does Apex Plan do?

Plan and scope a project — discovery, challenge assumptions, present S/M/L options with token and cost estimates. Apex Plan is an agent skill from jeremylongshore/tons-of-skills-marketplace. Plan and scope a project — discovery, challenge assumptions, present S/M/L options with token and cost estimates.

When should I use Apex Plan?

Apex Plan fits situations like: asked to plan this; how should we build X; A new project/feature request comes in.

How do I install Apex Plan in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill apex-plan -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/apex-plan in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/apex-plan in your project. Claude Code loads it when a task matches its description.

How do I install Apex Plan in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill apex-plan -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/apex-plan in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/apex-plan in your project. Codex loads it when a task matches its description.

Can I use Apex 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 jeremylongshore/tons-of-skills-marketplace --skill apex-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/apex-plan, .gemini/skills/apex-plan, .github/skills/apex-plan and .opencode/skills/apex-plan in your project.

What does Apex Plan need to run?

SKILL.md names no scripts, command-line tools or credentials: Apex Plan is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion.

Does Apex 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 Apex Plan safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Apex Plan use?

Apex Plan 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 Apex Plan use?

About 767 tokens (SKILL.md is roughly 3.1k 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 Apex Plan?

Skills that share tags, products or a category with Apex Plan: Presentations (asgeirtj/system_prompts_leaks, 69k stars), Presentation (RightNow-AI/openfang, 18k stars), Agent Challenges (ruvnet/ruflo, 74k stars) and AI Presenter Video (NousResearch/hermes-agent, 253k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Apex Plan?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.