MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Convert a rambling description of a desired outcome into one polished, autonomous /goal prompt ready to paste into a fresh session.
$ npx skills add alirezarezvani/claude-skills --skill fable-goal -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alirezarezvani/claude-skills fable-goal --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "fable-goal" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/productivity/fable-goal/skills/fable-goal into .claude/skills/fable-goal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fable-goal", 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 install https://github.com/alirezarezvani/claude-skills/tree/main/productivity/fable-goal/skills/fable-goalType 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.
$ npx skills add alirezarezvani/claude-skills --skill fable-goal -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alirezarezvani/claude-skills fable-goal --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/productivity/fable-goal/skills/fable-goal .agents/skills/fable-goal && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fable-goal" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/productivity/fable-goal/skills/fable-goal into .agents/skills/fable-goal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fable-goal", 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.
$ npx skills add alirezarezvani/claude-skills --skill fable-goal -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alirezarezvani/claude-skills fable-goal --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/productivity/fable-goal/skills/fable-goal .cursor/skills/fable-goal && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "fable-goal" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/productivity/fable-goal/skills/fable-goal into .cursor/skills/fable-goal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fable-goal", 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 https://github.com/alirezarezvani/claude-skills.git --path productivity/fable-goal/skills/fable-goal--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add alirezarezvani/claude-skills --skill fable-goal -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alirezarezvani/claude-skills fable-goal --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/productivity/fable-goal/skills/fable-goal .gemini/skills/fable-goal && rm -rf skills-srcUse ~/.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/
Install the "fable-goal" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/productivity/fable-goal/skills/fable-goal into .gemini/skills/fable-goal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fable-goal", 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.
$ gh skill install alirezarezvani/claude-skills fable-goalInstalls 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).
$ npx skills add alirezarezvani/claude-skills --skill fable-goal -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/productivity/fable-goal/skills/fable-goal .github/skills/fable-goal && rm -rf skills-srcUse ~/.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/
Install the "fable-goal" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/productivity/fable-goal/skills/fable-goal into .github/skills/fable-goal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fable-goal", 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.
$ npx skills add alirezarezvani/claude-skills --skill fable-goal -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alirezarezvani/claude-skills fable-goal --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/productivity/fable-goal/skills/fable-goal .opencode/skills/fable-goal && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "fable-goal" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/productivity/fable-goal/skills/fable-goal into .opencode/skills/fable-goal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fable-goal", 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.
fable-goalConvert 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. 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.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 1,103 words, ~2,380 tokens.
.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.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.
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.
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).
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.
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.
Weave all seven parts as natural flowing prose — no headers, no bulleted spec. First person, as the user speaking to the session:
Length target: 150–350 words — long enough for stakes, tools, and verification; short enough that nothing dilutes the goal line.
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.
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.
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:
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
SKILL.md and 2 other files (scripts, references) in productivity/fable-goal/skills/fable-goal of alirezarezvani/claude-skills.
Open the folder on GitHubat commit 19392f7
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Fable Goal this skillalirezarezvani/claude-skills | 28k | — | ~2.4k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 10 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 35 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 297k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Skill CreatorAzure/azqr | 795 | 89 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/claude-plugins-official
Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.
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
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.
Azure/azqr
Create new skills, modify and improve existing skills, and measure skill performance.
anthropics/claude-plugins-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.
alirezarezvani/claude-skills
Writes INVEST-checked user stories with acceptance criteria, splits epics, plans sprints from velocity and ranks the backlog with a weighted score.
alirezarezvani/claude-skills
OKR cascade toolkit for product leaders: generates aligned company-to-team OKRs from five strategy types and scores how well they line up.
alirezarezvani/claude-skills
App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store.
alirezarezvani/claude-skills
Design AWS architectures for startups using serverless patterns and IaC templates.
alirezarezvani/claude-skills
Calculates attribution, funnel and ROI figures for marketing campaigns with three Python scripts that need only the standard library.
alirezarezvani/claude-skills
Reverse-engineers a frontend, backend or fullstack codebase into a product requirements document with per-page docs, an enum dictionary and an API inventory.
Categories
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.
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.
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.
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.
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.
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.
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
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.
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.
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.
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.
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.