Agent skill

Planning

by scott-fryxell in scott-fryxell/brayness

Plan complex or creative work as a directed acyclic graph (DAG / mind-map) before executing, keeping the human as the decider at every gate.

MITAuto-check passedAgent Workflows

Install Planning

skills CLI
$ npx skills add scott-fryxell/brayness --skill planning -a claude-code

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

GitHub CLI
$ gh skill install scott-fryxell/brayness planning --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/scott-fryxell/brayness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/planning .claude/skills/planning && 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
planning
GitHub stars
125
Token cost
~1.9k tokens
SKILL.md length
975 words
Files
1
Skills in repo
27
Repo updated
First seen
Licence
MIT

At a glance

Plan complex or creative work as a directed acyclic graph (DAG / mind-map) before executing, keeping the human as the decider at every gate.

  • Works in 8 steps: Planner - build the DAG → Planner - render the DAG → Planner - keep it readable → …
  • A task branches
  • SKILL.md covers Roles, When to use, Core rule and Process, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Planning is an agent skill from scott-fryxell/brayness. Plan complex or creative work as a directed acyclic graph (DAG / mind-map) before executing, keeping the human as the decider at every gate. Use when a task branches, explodes like a mind map, or is a creative project - anything with parallel or dependent pieces a linear checklist would flatten. Produces an ordered, reviewable plan, checks in at each gate, then executes. Built from the Building an Advanced Agentic Harness article's Planner role, inverted so the harness plans and the human decides.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. The repository describes itself as: A harness for the anxious digital mind. A safe place for creatives to keep their creative soul while exploring digital skills. The licence is MIT.

When your agent uses it

  • A task branches
  • Explodes like a mind map
  • Is a creative project - anything with parallel
  • Dependent pieces a linear checklist would flatten

Example prompts

  • “/planning”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Planner - build the DAG
  2. Planner - render the DAG
  3. Planner - keep it readable
  4. Gate 1 - approve the shape
  5. Worker - execute
  6. Critic - verify
  7. Promoter - when it earns it
  8. Gate 2

What it can do on your machine

Read from SKILL.md and the folder at commit 71f10e2. 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

    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

    Links to these hosts (documentation or services it may open):

    • scott-fryxell.github.io

    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

Planning loads about 1.9k tokens when it runs. Until then it costs about 128 tokens; SKILL.md has 975 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~128
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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 scott-fryxell/brayness at commit 71f10e2, republished under its MIT licence (© scott-fryxell). 975 words, ~1,884 tokens.

Download SKILL.mdSave it as .claude/skills/planning/SKILL.md (or your agent's skills folder).
name
planning
description
Plan complex or creative work as a directed acyclic graph (DAG / mind-map) before executing, keeping the human as the decider at every gate. Use when a task branches, explodes like a mind map, or is a creative project - anything with parallel or dependent pieces a linear checklist would flatten. Produces an ordered, reviewable plan, checks in at each gate, then executes. Built from the Building an Advanced Agentic Harness article's Planner role, inverted so the harness plans and the human decides.
metadata.category
Workflow
metadata.tags
planning, dag, mind-map, orchestration, human-in-the-loop
related_skills
critic, project-tooling, skill-finder, hyperframes

Planning

Plan work as a directed acyclic graph before doing it. The agent proposes, you approve, then execution runs. This skill never runs a crew solo.

Roles

Five fixed names, used across this skill, AGENTS.md, and plan files:

  1. Explorer - figure out what the task really is. Skip once the ask is clear.
  2. Planner - shape branchy work into a DAG and stop at Gate 1. Trivial or linear work passes straight through.
  3. Worker - run nodes in topological order.
  4. Critic - verify each node, cheapest deterministic check first.
  5. Promoter - decide if verified work is worth showing off; most is not.

No aliases like "research phase" or "promote step."

When to use

Work that branches, rejoins, or has dependencies between pieces. Skip trivial or linear tasks - planning has a cost.

Core rule

Nodes are units of work, edges are dependencies. Build the graph, check in at each gate, and never self-run the whole DAG.

Process

1. Planner - build the DAG
  • One node per unit of work: id, one-line goal, effort (cheap/medium/expensive).
  • Edges only where one node depends on another. No cycles - a cycle means the plan is muddled.
  • Split anything that would become a paragraph to describe.
2. Planner - render the DAG

Use Mermaid, so it renders in Obsidian, GitHub, and editors:

```mermaid
flowchart LR
  a["a research angle"] --> b["b pick sources"]
  b --> d["d assemble"]
  c["c draft section 1"] --> d
  d --> G{{"🚦 GATE 1<br/>shape approved"}}

  classDef gate fill:#3a2f1a,stroke:#c9a227,color:#f5e6c8;
  classDef done fill:none,stroke:#555,stroke-dasharray:3 3,color:#777;
  classDef active fill:#1f2f3a,stroke:#4f8fbf,color:#d6e9f5;
  classDef blocked fill:#3a1f1f,stroke:#bf4f4f,color:#f5d6d6;
  class G gate;
  class a done;
  class b active;
```

Node ids lead the label (a1, b3) so the table can refer to them. Gates use the {{...}} hexagon and the gate classDef. Keep labels to a few words and put effort in the table, not the graph.

Before showing a DAG in chat, run bin/mermaid-fit.js <file>. Pi's feed shows the raw fence when a diagram is wider than the pane; shorten labels until it passes.

Status is color plus emoji, so it reads in any renderer and in plain text:

StatusEmojiclassDef
done✅done (dimmed, dashed)
in progress🔄active (blue)
blocked⛔blocked (red)
not startednonedefault
gate🚦gate (amber)

The emoji leads the label ("✅ a1 research angle") and matches the node's class line. Update both as work moves. Finished work dims so the eye lands on what is left.

The node list dims too. A finished row's id is struck through, | ~~a1~~ ✅ |. Markdown renders that as <del>, so any viewer dims the whole row with tr:has(del) { opacity: 0.45 } and GitHub shows it crossed out. One line above the table names the legend.

ASCII only for a throwaway sketch that will never persist.

Put the DAG in a plan file. plans/<plan>.md, or a companion plans/<plan>.plan.md if that file should stay pure spec. One file per plan. Gate decisions land in Decisions as one-liners, nowhere else.

3. Planner - keep it readable

Word bloat is the nemesis. Judge every line: does this change a decision, or could the code say it? If neither, cut it. A plan over ~120 lines has absorbed something - find it and delete it.

Write ideas, not explanations: one idea per line, seven to ten words where possible. The reader knows what to do; no instructions addressed to them, no hedges, no reasoning they did not ask for.

Open with who it is for: one sentence naming the target customer, so every node can be judged against them.

Carries: decisions and what was rejected, one line each. Open questions, as questions. What to do next and how to judge it. What the code cannot say - gotchas that bite, why the thing exists at all.

Does not carry:

  • A changelog. Git holds history. No dated "what changed" list, no gate log, no "approved on" section, no restating how the plan got here.
  • Settled questions. Move the decision to Decisions and delete the question.
  • Nodes a decision absorbed. When a branch is picked, the choosing node disappears and the choice stands alone.

Finished nodes stay, dimmed, until the human says to prune. Pruning removes the node, its edges, its row, and any mention elsewhere. Never prune on your own.

  • A decision explained twice - as a bullet, then prose, then a rationale paragraph. Or a rejected option kept as its own paragraph.
  • Restated docstrings or how a function works inside.
  • Prose explaining a command.

Trim words on the way out of a session, not later. Say what you cut. See the readable skill for the sentence-level pass.

Show full SKILL.md (275 more words)Show less
4. Gate 1 - approve the shape

Present the rendered DAG and order. Ask one question: is the shape right? Only topology counts - added, removed, or merged nodes, wrong dependencies, wrong order. Wait for the go before executing. Revise and re-present if wrong. Record the outcome as a Decisions line, not a gate log.

5. Worker - execute

Topological order, dependencies first, parallel where independent.

Plain execution is the default. A node that iterates toward a measurable target runs as an autoresearch loop; there are no subagents.

6. Critic - verify

Apply the critic skill after each node or merge point. If a node changes the shape of later work, stop and check in before the next gate.

7. Promoter - when it earns it

Triggers: a feature genuinely worth showing off, or docs good enough to show. Channels are YouTube, TikTok, and About.vue; motion graphics preferred (see hyperframes). Promoter nodes gate on the feature being verified, and the human approves before it ships. Most nodes skip this.

8. Gate 2

Summarize what ran. Ask whether it meets the plan. Done is your call.

Human in the loop

  • Every gate pauses. No autonomous crew run.
  • One question at a time; no question bombs.
  • A node that would change the shape mid-run means stop and re-present.
  • Underspecified task? Ask before building the DAG, not after.
  • critic - the Critic role.
  • project-tooling - read a project's scripts before planning work inside it.
  • skill-finder - when a node needs a capability you lack.
  • hyperframes - motion graphics for the Promoter role.

Source

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

Files

Just SKILL.md in skills/planning of scott-fryxell/brayness.

Open the folder on GitHubat commit 71f10e2

Compare with similar skills

Planning 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.

Planning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Planning this skillscott-fryxell/brayness125—~1.9kAutomated safety check: PassMIT
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k10 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k36 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Skill CreatorAzure/azqr79689 repos~8.2kAutomated safety check: PassApache-2.0

Similar skills

  • MCP Server Builder

    anthropics/skills

    Official

    Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.

    180k GitHub starsUsed in 63 repos~2.3k tokens
    Agent WorkflowsAuto-check passed
  • Hook Development for Claude Code Plugins

    anthropics/claude-plugins-official

    Official

    Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.

    38k GitHub starsUsed in 10 repos~4.1k tokens
    Agent WorkflowsAuto-check: notes
  • Using Superpowers

    farm-fe/farm

    A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

    5.6k GitHub starsUsed in 36 repos~1.4k tokens
    Agent WorkflowsAuto-check passed
  • Executing Plans Inline

    obra/superpowers

    Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.

    297k GitHub starsUsed in 2 repos~5.1k tokens
    Agent WorkflowsAuto-check passed
  • Skill Creator

    Azure/azqr

    Official

    Create new skills, modify and improve existing skills, and measure skill performance.

    796 GitHub starsUsed in 89 repos~8.2k tokens
    Agent WorkflowsAuto-check passed
  • Claude Code Agent Development

    anthropics/claude-plugins-official

    Official

    Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.

    38k GitHub starsUsed in 7 repos~2.8k tokens
    Agent WorkflowsAuto-check passed

More from scott-fryxell/brayness

All 27 skills in this repo
  • Logo Finder

    scott-fryxell/brayness

    Find and install brand SVG logos via SVGL (https://svgl.app/) and Wikimedia Commons fallbacks into any project's static asset folder.

    125 GitHub stars~1.1k tokensUpdated 13 days ago
    Auto-check passed
  • Test Coverage

    scott-fryxell/brayness

    Write Vitest specs for Vue 3 JavaScript (Vite Plus, happy-dom, @vue/test-utils) and analyze V8 coverage + Fallow health to prioritize test-first refactors.

    125 GitHub stars~1.6k tokensUpdated 13 days ago
    Auto-check passed
  • Flexible Visual System

    scott-fryxell/brayness

    Derive a project's visual rules from its existing tokens, palette, type scale, logo, and icons (Intake), then generate raw SVG vector graphics from those rules as a small composable set (module…

    125 GitHub stars~1.9k tokensUpdated 13 days ago
    Auto-check passed
  • Hyperframes

    scott-fryxell/brayness

    Create video compositions, animations, title cards, overlays, captions, voiceovers, audio-reactive visuals, and scene transitions in HyperFrames HTML.

    125 GitHub stars~3.2k tokensUpdated 13 days ago
    Auto-check passed
  • Motion Systems

    scott-fryxell/brayness

    A skill your agent uses when designing or implementing motion for web interfaces, including CSS transitions and keyframes, linear() easing design, transform strategy (translate/rotate vs…

    125 GitHub stars~1.7k tokensUpdated 13 days ago
    Auto-check passed
  • Vue Inspect

    scott-fryxell/brayness

    Inspect live Vue 3 component state via agent-browser eval - no Devtools extension, no console.log.

    125 GitHub stars~779 tokensUpdated 13 days ago
    Auto-check passed

Categories

Questions about Planning

What does Planning do?

Plan complex or creative work as a directed acyclic graph (DAG / mind-map) before executing, keeping the human as the decider at every gate. Planning is an agent skill from scott-fryxell/brayness. Plan complex or creative work as a directed acyclic graph (DAG / mind-map) before executing, keeping the human as the decider at every gate.

When should I use Planning?

Planning fits situations like: A task branches; explodes like a mind map; is a creative project - anything with parallel; dependent pieces a linear checklist would flatten.

How do I install Planning in Claude Code?

Run `npx skills add scott-fryxell/brayness --skill planning -a claude-code`. Or copy the skill folder (skills/planning in scott-fryxell/brayness) into .claude/skills/planning in your project. Claude Code loads it when a task matches its description.

How do I install Planning in Codex?

Run `npx skills add scott-fryxell/brayness --skill planning -a codex`. Or copy the skill folder (skills/planning in scott-fryxell/brayness) into .agents/skills/planning in your project. Codex loads it when a task matches its description.

Can I use Planning 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 scott-fryxell/brayness --skill planning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/planning, .gemini/skills/planning, .github/skills/planning and .opencode/skills/planning in your project.

What does Planning need to run?

SKILL.md names no scripts, command-line tools or credentials: Planning is instructions for the agent only.

Does Planning access the network?

SKILL.md names 1 domain. As links in the text: scott-fryxell.github.io. This is read from the text; nothing was executed.

Is Planning 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 Planning use?

Planning is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Planning use?

About 1.9k tokens (SKILL.md is roughly 7.5k 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 Planning?

Skills that share tags, products or a category with Planning: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Planning?

scott-fryxell (a GitHub user) maintains it in scott-fryxell/brayness, which has 125 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on September 28, 2026.

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