GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Source-backed prompting and coding-agent guidance with provenance and freshness checks.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
https://mcp.promptingcraft.com/mcpRun this in your terminal
claude mcp add --transport http guidance https://mcp.promptingcraft.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"guidance": {
"url": "https://mcp.promptingcraft.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"guidance": {
"type": "http",
"url": "https://mcp.promptingcraft.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://mcp.promptingcraft.com/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
search_guidanceList curated guidance records that match a target coding agent, model family, scope and topic. Returns official model guidance, platform documentation and Agent Skills standard records with labels, applicability and the date each source was verified. PromptingCraft.com methodolog
get_guidanceReturn one curated record by its stable id (from search_guidance): provider, canonical source URL, applicability, limitations, labels, the date the source was verified, its snapshot hash and the ledger commit. Unknown ids return an error; nothing is fetched from the web.
check_source_freshnessFetch one allowlisted official documentation page from the curated registry and compare its normalized text with the verified snapshot. Status is unchanged, updated, unavailable (could not be checked now) or unknown (no snapshot). Results are shared by all callers and cached for
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified against the domain promptingcraft.com (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 140 ms (HTTP 200)
No sign-in needed
Read 3 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (0.3.0) reached the registry 10 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Website: promptingcraft.com
The product is publicly named PromptingCraft.com. Since 0.3.0 the skill and plugin identifier is promptingcraft (formerly promptcraft); see the migration notes.
Turn a development discussion into a prompt a fresh coding agent can execute. PromptingCraft.com preserves the task contract, consults applicable official guidance, drafts, critiques once, revises when necessary, and checks that requirements and permissions survived. The assistant writing the prompt and the agent executing it may differ. Targets: Claude Code and OpenAI Codex; Cursor is supported as a target agent (see Use in Cursor). The standalone Skill on the current source tree has version 0.4.0. Its plugin package is a separate 0.4.0 upgrade candidate; the published ChatGPT plugin remains 0.3.0, and the candidate has not been published or approved as its replacement. The existing remote guidance MCP server reports version 0.3.0; it is a separate service.
The immutable v0.1.0 tag remains the historical source release; it is not replaced by the separate ChatGPT plugin. This branch contains unreleased guidance, compatibility and package changes. The latest contract-fidelity sample found 0/14 material drift after earlier diagnostic variance; it is not a guarantee. Native Codex invocations are verified. ChatGPT-native activation and downstream superiority remain unverified. Development CI archives do not replace v0.1.0 release assets.
When the original task is already suitable, PromptingCraft.com can return: "The original prompt is already suitable. No material revision is necessary." It preserves the original text; no-change still requires contract and source checks.
It helps produce a usable handoff; it cannot supply missing access, authority, repository evidence or guarantees of downstream correctness.
Canonical source: GitLab. A public GitHub mirror is also available for browsing and installation. GitLab CI is authoritative; GitHub Actions are not enabled. Contributions may be proposed on either platform; changes are integrated through the canonical GitLab project.
PromptingCraft.com is published in the ChatGPT Plugin Directory, and its optional guidance MCP is listed in the official MCP Registry. Both published services are version 0.3.0; the standalone Skill in the current source tree is 0.4.0. Read the launch announcement for installation, capabilities and verification details.
Use PromptingCraft as a standalone Agent Skill, or connect its MCP server for structured access to official AI-developer guidance.
| Standalone Agent Skill | Skill + MCP server | |
|---|---|---|
| What you install | skills/promptingcraft/ (instructions and dated references) | The plugin: the same skill plus mcp.json |
| Hosts | Codex, Claude Code and Cursor (local skill folders) | Hosts that load the plugin's MCP server; verified in Codex |
| Prompt authoring (contract, draft, critique, final, no-change) | Yes | Yes, same skill |
| Official guidance | Bundled curated references, dated; the host's own documentation search or browsing when available | Also search_guidance and get_guidance: records with provenance and applicability |
| Freshness | Live only when the host actually reads an official page in that run; otherwise labeled dated cached | check_source_freshness compares one official page with its verified snapshot (cached up to 15 minutes) |
| Network | None required | HTTPS to https://mcp.promptingcraft.com/mcp (fixed categories and ids only; see privacy) |
| If guidance retrieval fails | Uses bundled references and says so | Says the server was unavailable, then uses other official sources or bundled references |
The MCP server is optional. It supplies evidence, not authority: the skill still extracts the contract, drafts, critiques and finalizes, and the user's requirements and permissions always win. Neither mode guarantees real-time documentation: bundled references carry their retrieval dates, and a freshness check shows only whether a page changed since it was verified. Records of kind promptingcraft_methodology are PromptingCraft.com's own method, not provider recommendations. Server details: mcp/README.md and data boundary.
Ask: "Write a Codex task: Save shows success after an API error. Preserve the API shape; don't deploy."
Draft: "Fix saving and run tests."
Critique: the draft lost the symptom, API constraint and deployment boundary.
Final:
Fix Save so an unsuccessful API response is not reported as success. Preserve
the API shape. Locate the existing save path and verify the requested failure behavior. Do not deploy.
Optional suggestion: use the existing error-display pattern if one is available.
This is an original illustration, not proof of improved execution. See the worked examples and evaluation protocol.
The PromptingCraft.com plugin bundles the skill and declares one optional remote MCP server (the guidance server, no account or credentials). Build its local source once, register the real repository root, and install through supported Codex or ChatGPT Desktop plugin controls. See the exact local installation and ChatGPT procedure. After installation, start a new chat; explicitly select PromptingCraft.com with @ or ask “Prepare a Codex prompt for this task.” It uses the established discussion and returns the final execution prompt in one copyable code block.
Current OpenAI documentation supports plugins in Chat, but local-source and account availability vary. Codex CLI installation is verified separately from ChatGPT Desktop and ordinary Chat activation. Computer Use cannot access ChatGPT in this environment; those native checks remain a documented owner-side gate. No repeated SKILL.md paste or upload is part of the supported installation route. With unavailable retrieval, source guidance remains dated/unavailable.
From the project where you want Claude Code to use the Skill, install the current public GitHub source with the skills CLI:
DISABLE_TELEMETRY=1 npx -y skills@1.7.4 add revanbcn/promptingcraft-skill --skill promptingcraft --agent claude-code --copy --yes
This installs the standalone Skill from the repository's current default branch into .claude/skills/promptingcraft/ in the project. That branch carries Skill version 0.4.0; it can change as the repository is updated. The command opts out of CLI telemetry and uses the CLI's non-interactive copy mode. Installation does not establish Skill activation or install the optional remote MCP server. To use the Skill, start a new Claude Code session and invoke /promptingcraft with your prompt-authoring request.
For the historical release, download the v0.1.0 skill archive and SHA256SUMS from GitLab v0.1.0. Verify checksums before extracting. There is no 0.2.0 release yet; a clone provides the current candidate:
git clone https://gitlab.com/revanalex/promptingcraft-skill.git
cd promptingcraft-skill python3 scripts/install_skill.py --host codex --project-dir /path/to/your/project
python3 scripts/install_skill.py --host claude --project-dir /path/to/your/project
python3 scripts/install_skill.py --host cursor --project-dir /path/to/your/project
The optional installer requires Python 3.11+, refuses existing targets and touches only the explicitly chosen project's skill directory. You can instead copy the extracted promptingcraft/ directory yourself into .agents/skills/ (Codex) or .claude/skills/ (Claude Code) or .cursor/skills/ (Cursor; Cursor also reads .agents/skills/), including all its references and license. Restart the host if discovery has not refreshed. In Codex invoke $promptingcraft; in Claude Code invoke /promptingcraft, then describe the prompt you need. No development task is executed by the skill.
Cursor reads Agent Skills from .cursor/skills/ or .agents/skills/ in a project and from ~/.cursor/skills/ for the user. The plugin root (plugin.json with the Agent Plugins 1.0.0 schema and skills/promptingcraft/) follows Cursor's documented Agent Plugins format; it has not been submitted to or reviewed by the Cursor Marketplace.
When the executor is Cursor, PromptingCraft.com loads its Cursor notes: under Auto the underlying model is treated as unknown, so no Claude, GPT or Composer prompting rules are applied unless the selected model is established.
Measured in the Cursor CLI (cursor activation eval): with the default Auto setting (reported as Composer 2.5 Fast) the skill was available but did not activate automatically (0/30 prompt requests); naming it, as in “Use the promptingcraft skill to prepare a Cursor prompt for this task”, loaded it 2/2 (measured with the 0.2.0 identifier and repeated with promptingcraft). In the editor you can also pick it from the / menu. Activation depends on the selected model. Plugin loading in the Cursor editor has not been tested.
The plugin ZIP includes root plugin.json using Agent Plugins 1.0.0, one skills/promptingcraft/ tree, listing icons/logos under assets/ and a Claude Code compatibility manifest, plus a root mcp.json that declares the optional guidance MCP server. It declares no hooks or credentials. Its ChatGPT listing metadata (display name, descriptions, website, support, privacy and terms URLs, brand colors and icons) is checked by the validator. The existing 0.3.0 plugin is published; this 0.4.0 candidate has not been submitted for review. In Claude Code, session-only loading is:
claude --plugin-dir /path/to/extracted/promptingcraft-plugin
The repository already includes .agents/plugins/marketplace.json for dondego-local. Prepare its actual plugin directory before registration:
python3 scripts/prepare_marketplace.py
python3 scripts/validate.py --marketplace
The generated dist/promptingcraft-plugin/ comes from the canonical skill using the existing reproducible archive builder. It is a snapshot, not a second maintained skill. The catalog resolves its path relative to the repository root. See installation, refresh and removal.
python3 -m unittest discover -s tests -v
python3 scripts/validate.py python3 scripts/package.py --output dist python3 scripts/prepare_marketplace.py python3 scripts/validate.py --marketplace
python3 scripts/freshness.py --output /tmp/promptingcraft-freshness --write-baseline
Normal checks are deterministic, offline and use synthetic documents. Live source checks compare usable normalized content hashes, use HTTP validators when supplied and discover candidate links in official indexes. They report changed, unchanged, new, missing/unavailable and partial/error states. They neither prove guidance is correct nor automatically change the skill. Fetch time is not publication time. Caches and raw model trace
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