Agent skill

Fable Goal

by alirezarezvani in alirezarezvani/claude-skills

Convert a rambling description of a desired outcome into one polished, autonomous /goal prompt ready to paste into a fresh session.

MITAuto-check passedAgent Workflows

Install Fable Goal

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill fable-goal -a claude-code

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

GitHub CLI
$ gh skill install alirezarezvani/claude-skills fable-goal --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/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/productivity/fable-goal/skills/fable-goal .claude/skills/fable-goal && 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
fable-goal
GitHub stars
28k
Token cost
~2.4k tokens
SKILL.md length
1,103 words
Files
3 (incl. scripts, references)
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

Convert a rambling description of a desired outcome into one polished, autonomous /goal prompt ready to paste into a fresh session.

  • Works in 5 steps: Extract what the ramble already contains → Fill gaps with defaults; ask only when… → Verify before you name → …
  • The user says /fable-goal
  • SKILL.md covers The philosophy, Process, Anti-patterns and Example
  • Runs Python scripts from its folder; calls python3

What it does

Fable Goal is an agent skill from alirezarezvani/claude-skills. Convert a rambling description of a desired outcome into one polished, autonomous /goal prompt ready to paste into a fresh session. Use when the user says "/fable-goal", "turn this into a goal prompt", "write me a fable prompt", "write the prompt that builds X", or rambles about something they want made and asks for the prompt that makes it happen. The output is a single copy-paste prompt, never the build itself. Do NOT use when the user wants the thing built right now in this session — only when they want the…

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/goal_prompt_patterns.md` and `scripts/goal_prompt_self_check.py`).

It sits in Agent Workflows. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

  • The user says /fable-goal
  • Turn this into a goal prompt
  • Write me a fable prompt
  • Write the prompt that builds X

Example prompts

  • “/fable-goal”
  • “turn this into a goal prompt”
  • “write me a fable prompt”
  • “/fable-goal”

Requirements

  • Python 3

Workflow steps

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

  1. Extract what the ramble already contains
  2. Fill gaps with defaults; ask only when it matters
  3. Verify before you name
  4. Write the prompt: the seven-part anatomy
  5. Self-check, then deliver

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. 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/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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):

    • github.com

    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

Fable Goal loads about 2.4k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 145 tokens; SKILL.md has 1,103 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~145
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.6k

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 alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 1,103 words, ~2,380 tokens.

Download SKILL.mdSave it as .claude/skills/fable-goal/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
fable-goal
description
Convert a rambling description of a desired outcome into one polished, autonomous /goal prompt ready to paste into a fresh session. Use when the user says "/fable-goal", "turn this into a goal prompt", "write me a fable prompt", "write the prompt that builds X", or rambles about something they want made and asks for the prompt that makes it happen. The output is a single copy-paste prompt, never the build itself. Do NOT use when the user wants the thing built right now in this session — only when they want the PROMPT that will make it happen in a fresh session.

Fable Goal Prompt Writer

Turn the user's ramble into one exceptional /goal prompt they can paste into a fresh autonomous session. You are not building the thing. You are designing the prompt that builds the thing.

Wrong-tool check first. If the user actually wants the deliverable built now, say so in one line and offer to build it — don't write a prompt nobody will paste.

The philosophy

Get out of the model's way. A capable model can do almost anything if the prompt (1) articulates the desire clearly, (2) hands it tools, and (3) gives it a way to verify its own work. A great /goal prompt does not micromanage the how. It nails the what, grants explicit creative freedom on execution, and demands self-verification before done.

The corollary most prompts miss: done must be observable. Every deliverable needs a completion condition the session can check itself — a page that loads, a script that runs on real input, a link that resolves. "Make it good" is a wish; "load each page and click every element before you ok it" is a verification loop.

Brand profile (optional). If the user keeps one — a brand.md in this folder, or ~/.claude/CLAUDE.md / ~/.claude/brand-profile.md — read it once at the start: proof points, audience numbers, design system, asset paths, default destinations, voice rules, preferred MCPs. Pull in ONLY entries the task touches. No profile is fine; a profile just removes questions.

Process

1. Extract what the ramble already contains

People think in fragments, especially over voice-to-text. Interpret intent over literal words ("Quad MD" means CLAUDE.md, "Netlefi" means Netlify). Pull out six slots: deliverable (the concrete thing), quantity, audience/stakes (who sees it, real numbers), tools named, quality bar (adjectives, comparisons), destination (hosted link, folder, post, file).

2. Fill gaps with defaults; ask only when it matters

Synthesize small gaps yourself, using the brand profile if one exists. Ask ONLY when the answer would meaningfully change the prompt: outcome (can't tell what the deliverable is), scale (5 vs 50 changes the shape and nothing implies it), destination (can't infer where results land), assets (a needed input like a logo or source file that nothing supplies), brand facts (public-facing output with no profile — ask for the one or two that raise the bar).

If you ask, ask everything in ONE AskUserQuestion batch, then write. Never interview in rounds. If the ramble (plus profile) covers the basics, ask nothing and note assumptions instead.

3. Verify before you name

A prompt that points at a path, capability, or MCP that does not exist sends the fresh session on a dead-end hunt. Spend 30 seconds confirming every resource you plan to name: ls the paths, glance at the available-tools list. The live environment is the source of truth, not the profile. Name only what you verified AND what is load-bearing (usually 2–4 things); everything else is the discovery mandate's job.

4. Write the prompt: the seven-part anatomy

Weave all seven parts as natural flowing prose — no headers, no bulleted spec. First person, as the user speaking to the session:

  1. Desire + stakes. Concrete deliverable, concrete quantity, why it matters. If an audience will see it, say so with the real number. Never invent stakes — real stakes make the model try harder; fake ones are noise.
  2. Quality bar. What excellent looks like, in a sentence or two. For creative work, vivid adjectives beat specs; for functional work, concrete behavior beats adjectives.
  3. Tool inventory + discovery mandate. Name the verified resources, sketch ONE example workflow as a suggestion, then release it: "you can accomplish this many ways." Then grant discovery — "before you start, take stock of the tools and MCPs you actually have, and go find or fetch any references, libraries, or assets you need along the way; the internet is available to you."
  4. Creative freedom + decision authority. Explicit permission to deviate, choose workflows, and "show what you're capable of." Never skip this. Anything named is a suggestion the session may swap for something better; every mid-run judgment call gets decided by the session with taste, not deferred back.
  5. Verification loop. Default: at least three iteration passes — going back through the finished output with a fine-toothed comb for problems and improvements. Define the pass in the medium's own terms: load the page and click through it, run the script on real input, render and watch the video. See references/goal_prompt_patterns.md for per-medium defaults.
  6. Delivery. Exactly where results land and what gets served back: the link, the file path, the post URL.
  7. Goal line + autonomy directive. Close with one sentence: "[X with Y and Z] is your /goal. Work completely autonomously and do not ask me for anything until you are all done." For 3+ independent units, add a nudge to parallelize with subagents.

Length target: 150–350 words — long enough for stakes, tools, and verification; short enough that nothing dilutes the goal line.

Show full SKILL.md (291 more words)Show less
5. Self-check, then deliver

Fix any miss before shipping: (1) deliverable + quantity concrete enough that a stranger could judge done; (2) every named resource verified in step 3; (3) creative-freedom clause present; (4) verification loop present and matched to the medium; (5) destination explicit; (6) ends with the goal line + autonomy directive, 150–350 words.

The mechanically checkable subset (word count, goal line, autonomy directive, verification/freedom/destination language) can be run: python3 scripts/goal_prompt_self_check.py - with the draft on stdin — exit 0 means those checks pass; judgment calls (1) and (2) stay yours.

Output the prompt in a single fenced code block, then a short Assumptions list (2–4 bullets) so the user can correct any gap-fill with one line. Nothing else — no preamble above the code block.

Anti-patterns

Never ship a prompt that: micromanages the how (step-by-step strangles the session); names phantom resources (unverified = dead-end hunt); has unverifiable done-ness (session declares victory early); buries the goal line (nothing comes after it); invents stakes (false urgency trains the user to write fiction); or follows an interview spiral (one question batch max). Failure-mode detail and a second worked example (non-web medium) live in references/goal_prompt_patterns.md.

Example

Ramble: "I want like 5 different landing pages for my free prompt pack thing, they should all look totally different and crazy good, put them up somewhere I can look at them"

Output:

I want you to build 5 landing pages for my free prompt pack, each one fundamentally different from the others, as a way to show me the strongest possible range of directions before I pick one. These will be seen by my audience, so the bar is high: exceptional typography, striking layouts, and motion that feels designed rather than templated. Each page needs a headline, proof, and a single email-capture CTA for the prompt pack. You have total creative freedom on the visual direction of each one. You can generate any imagery you need with whatever image tools you have available, and you can accomplish this in many ways using many workflows, so before you start, take stock of the tools and MCPs you actually have, go find or fetch any references, libraries, or assets you need along the way, and show me what you are capable of. Before you ok each page, do at least three iteration passes: load the live page, click through every element, check it at mobile width, and go back through with a fine-toothed comb looking for design problems and opportunities to improve. Parallelize across subagents so the pages develop independently. When all 5 are done, deploy them to Netlify and serve me the 5 links with a one-line description of each direction. 5 fundamentally different prompt pack landing pages, live on Netlify with three iteration passes each, is your /goal. Work completely autonomously and do not ask me for anything until you are all done.

Assumptions:

  • CTA is email capture for the prompt pack (review candidates, not live pages — no marketing-automation wiring)
  • Netlify for hosting since you said "put them up somewhere"
  • Each page gets a distinct visual direction so you see the full range before committing

Derived from duncan-buildroom/freeskills fable-goal ("free to use and modify"). Substantially restructured: wrong-tool check, observable-done principle, six-slot extraction, per-medium verification defaults, six-point self-check, anti-pattern list, second worked example.

© alirezarezvani, 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 2 other files (scripts, references) in productivity/fable-goal/skills/fable-goal of alirezarezvani/claude-skills.

  • SKILL.md
  • references/goal_prompt_patterns.md
  • scripts/goal_prompt_self_check.py

Open the folder on GitHubat commit 19392f7

Compare with similar skills

Fable Goal 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.

Fable Goal compared with similar skills
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Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k10 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k35 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Skill CreatorAzure/azqr79589 repos~8.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Fable Goal

What does Fable Goal do?

Convert a rambling description of a desired outcome into one polished, autonomous /goal prompt ready to paste into a fresh session. Fable Goal is an agent skill from alirezarezvani/claude-skills. Convert a rambling description of a desired outcome into one polished, autonomous /goal prompt ready to paste into a fresh session.

When should I use Fable Goal?

Fable Goal fits situations like: the user says /fable-goal; turn this into a goal prompt; write me a fable prompt; write the prompt that builds X.

How do I install Fable Goal in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill fable-goal -a claude-code`. Or copy the skill folder (productivity/fable-goal/skills/fable-goal in alirezarezvani/claude-skills) into .claude/skills/fable-goal in your project. Claude Code loads it when a task matches its description.

How do I install Fable Goal in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill fable-goal -a codex`. Or copy the skill folder (productivity/fable-goal/skills/fable-goal in alirezarezvani/claude-skills) into .agents/skills/fable-goal in your project. Codex loads it when a task matches its description.

Can I use Fable Goal 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 alirezarezvani/claude-skills --skill fable-goal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fable-goal, .gemini/skills/fable-goal, .github/skills/fable-goal and .opencode/skills/fable-goal in your project.

What does Fable Goal need to run?

Going by SKILL.md and its folder, Fable Goal needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Fable Goal access the network?

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

Is Fable Goal 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 Fable Goal use?

Fable Goal 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 Fable Goal use?

About 2.4k tokens (SKILL.md is roughly 9.5k 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 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Fable Goal?

Skills that share tags, products or a category with Fable Goal: 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 Fable Goal?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,891 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

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