Agent skill

Taiga

Fetch information from Taiga public API for the Penpot project (id 345963) — issues, user stories, and tasks, without authentication.

MPL-2.0Auto-check passedProduct & Project Management

Install Taiga

skills CLI

$ npx skills add penpot/penpot --skill taiga -a claude-code

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

GitHub CLI

$ gh skill install penpot/penpot taiga --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/penpot/penpot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/taiga .claude/skills/taiga && 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/

Paste into Claude Code

Install the "taiga" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/taiga into .claude/skills/taiga/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "taiga", 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

$skill-installer install https://github.com/penpot/penpot/tree/develop/.agents/skills/taiga

Type 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.

skills CLI

$ npx skills add penpot/penpot --skill taiga -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install penpot/penpot taiga --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/taiga .agents/skills/taiga && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "taiga" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/taiga into .agents/skills/taiga/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "taiga", 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.

skills CLI

$ npx skills add penpot/penpot --skill taiga -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install penpot/penpot taiga --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/taiga .cursor/skills/taiga && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "taiga" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/taiga into .cursor/skills/taiga/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "taiga", 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

$ gemini skills install https://github.com/penpot/penpot.git --path .agents/skills/taiga

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add penpot/penpot --skill taiga -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install penpot/penpot taiga --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/taiga .gemini/skills/taiga && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "taiga" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/taiga into .gemini/skills/taiga/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "taiga", 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.

GitHub CLI

$ gh skill install penpot/penpot taiga

Installs 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).

skills CLI

$ npx skills add penpot/penpot --skill taiga -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/taiga .github/skills/taiga && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "taiga" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/taiga into .github/skills/taiga/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "taiga", 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.

skills CLI

$ npx skills add penpot/penpot --skill taiga -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install penpot/penpot taiga --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/taiga .opencode/skills/taiga && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "taiga" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/taiga into .opencode/skills/taiga/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "taiga", 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.

Facts

Skill name: taiga
GitHub stars: 61k
Token cost: ~778 tokens
SKILL.md length: 185 words
Files: 1
Skills in repo: 24
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MPL-2.0

At a glance

Fetch information from Taiga public API for the Penpot project (id 345963) — issues, user stories, and tasks, without authentication.

Tasks that involve User stories
SKILL.md covers When to use, Prerequisites, Quick Start and URL Pattern Reference, plus 2 more sections
Calls python3; reaches tree.taiga.io

What it does

Taiga is an agent skill from penpot/penpot. Fetch information from Taiga public API for the Penpot project (id 345963) — issues, user stories, and tasks, without authentication.

Its SKILL.md is about 780 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 Product & Project Management, covering User stories. It works with Python. The repository describes itself as: Penpot: The open-source design platform for Product teams that need scalable collaboration. The licence is MPL-2.0.

When your agent uses it

Tasks that involve User stories

Example prompts

“/taiga”

Requirements

Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit cb1118f. 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
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- tree.taiga.io
Also links to:
- docs.taiga.io
- api.taiga.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

Taiga loads about 778 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 185 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~35
When it runs · the whole SKILL.md, loaded when a task matches: ~778

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 penpot/penpot at commit cb1118f, republished under its MPL-2.0 licence (© penpot). 185 words, ~778 tokens.

Download SKILL.mdSave it as .claude/skills/taiga/SKILL.md (or your agent's skills folder).

name: taiga
description: Fetch information from Taiga public API for the Penpot project (id 345963) — issues, user stories, and tasks, without authentication.

Taiga API Skill

Fetch information from Taiga public API for the Penpot project (project id: 345963, slug: penpot).

No authentication required — only public project data is accessed.

When to use

The user asks about Penpot issues, user stories, or tasks tracked in Taiga — fetch them via the public API (project id 345963), no authentication needed.

Prerequisites

python3 — the scripts/taiga.py CLI script is self-contained (stdlib only)

Quick Start

The easiest way is to use the bundled Python script:

bash

# Pass a Taiga URL directly
python3 scripts/taiga.py https://tree.taiga.io/project/penpot/issue/13714

# Or use "<type> <ref>" syntax
python3 scripts/taiga.py us 14128
python3 scripts/taiga.py task 13648

# Add --json for raw output
python3 scripts/taiga.py --json issue 13714

# See full usage
python3 scripts/taiga.py --help

URL Pattern Reference

Taiga web URLs follow these patterns:

Type	Web URL Pattern
Issue	`https://tree.taiga.io/project/penpot/issue/<REF>`
User Story	`https://tree.taiga.io/project/penpot/us/<REF>`
Task	`https://tree.taiga.io/project/penpot/task/<REF>`

To extract the type and ref from a URL:

issue/13714 → type=issue, ref=13714
us/14128 → type=us, ref=14128
task/13648 → type=task, ref=13648

Python Script Reference

The scripts/taiga.py script wraps the Taiga API into a single convenient CLI with sensible defaults.

Usage

python3 scripts/taiga.py <taiga-url>
python3 scripts/taiga.py <type> <ref>
python3 scripts/taiga.py [--json] <taiga-url>
python3 scripts/taiga.py [--json] <type> <ref>

Examples

bash

# By URL (recommended — no need to think about type/ref)
python3 scripts/taiga.py https://tree.taiga.io/project/penpot/issue/13714

# By type and ref
python3 scripts/taiga.py us 14128
python3 scripts/taiga.py task 13648

# Raw JSON output
python3 scripts/taiga.py --json issue 13714

Output

The script prints a clean, structured summary:

text

User Story #11964 — 🔴 [DESIGN TOKENS] Typography Composite Input
================================
Status:     Defining
Milestone:  design-systems-sprint-26
Points:     3 role(s)
Assignee:   Natacha Menjibar
Author:     Natacha Menjibar
Created:    2025-09-01
Tags:       iop-design-tokens
URL:        https://tree.taiga.io/project/penpot/us/11964
================================
<full description text, unmodified>

The fields section includes type-specific information:

Issues: Status, Type ID, Severity ID, Priority ID
User Stories: Status, Milestone, Points
Tasks: Status, Milestone, Parent US

Reference

API docs: https://docs.taiga.io/api.html
Taiga instance: https://tree.taiga.io
API base: https://api.taiga.io/api/v1
Penpot project id: 345963
Penpot project slug: penpot

Files

Just SKILL.md in .agents/skills/taiga of penpot/penpot.

Open the folder on GitHubat commit cb1118f

Compare with similar skills

Taiga 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.

Taiga compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Taiga this skillpenpot/penpot	61k	—	~778	Automated safety check: Pass	MPL-2.0	yesterday
Backlog Refinementborghei/Claude-Skills	881	—	~1.7k	Automated safety check: Pass	MIT	yesterday
Extracting Requirementsprime-radiant-inc/iterative-development	181	—	~2.7k	Automated safety check: Pass	Apache-2.0	4 mo ago
User Story Writerdeanpeters/Product-Manager-Skills	7.2k	2 repos	~2.9k	Automated safety check: Pass	Custom licence	1 mo ago
Ralph Tui Create Beadssubsy/ralph-tui	2.5k	1 repos	~2.6k	Automated safety check: Pass	MIT	1 mo ago
Agile Product Owneralirezarezvani/claude-skills	28k	3 repos	~3.2k	Automated safety check: Pass	MIT	1 mo ago

Similar skills

Backlog Refinement
borghei/Claude-Skills
Backlog refinement playbook covering INVEST quality, vertical story splitting, Definition of Ready, and Definition of Done -- with a Python scorer that grades each story against INVEST and emits a…
881 GitHub stars~1.7k tokensUpdated yesterday
Product & Project ManagementAuto-check passed
Extracting Requirements
prime-radiant-inc/iterative-development
Reads human-written spec documents and produces per-epic requirement files with proof obligations plus behavior scenarios with stable IDs, using parallel chunked extraction.
181 GitHub stars~2.7k tokensUpdated 4 mo ago
Agent WorkflowsAuto-check passed
User Story Writer
deanpeters/Product-Manager-Skills
Writes user stories in Mike Cohn's format with Gherkin acceptance criteria, turning user needs into development-ready work with testable conditions.
7.2k GitHub starsUsed in 2 repos~2.9k tokens
Product & Project ManagementAuto-check passed
Ralph Tui Create Beads
subsy/ralph-tui
Convert PRDs to beads for ralph-tui execution. An agent skill from subsy/ralph-tui.
2.5k GitHub starsUsed in 1 repo~2.6k tokens
Product & Project ManagementAuto-check passed
Agile Product Owner
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.
28k GitHub starsUsed in 3 repos~3.2k tokens
Product & Project ManagementAuto-check passed
Final Release Review
openai/openai-agents-python
Official
Assess a Python SDK release candidate or release plan against the previous release and recommend ship or block.
30k GitHub stars~5.4k tokensUpdated yesterday
Product & Project ManagementAuto-check passed

Questions about Taiga

What does Taiga do?

Fetch information from Taiga public API for the Penpot project (id 345963) — issues, user stories, and tasks, without authentication. Taiga is an agent skill from penpot/penpot. Fetch information from Taiga public API for the Penpot project (id 345963) — issues, user stories, and tasks, without authentication.

When should I use Taiga?

Taiga fits situations like: tasks that involve User stories.

How do I install Taiga in Claude Code?

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

How do I install Taiga in Codex?

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

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

What does Taiga need to run?

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

Does Taiga access the network?

SKILL.md names 3 domains. In commands or code: tree.taiga.io; the agent is likely to contact it when it follows the instructions. As links in the text: docs.taiga.io and api.taiga.io. This is read from the text; nothing was executed.

Is Taiga 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 Taiga use?

Taiga is published under the MPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Taiga use?

About 778 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 Taiga?

Skills that share tags, products or a category with Taiga: Backlog Refinement (borghei/Claude-Skills, 881 stars), Extracting Requirements (prime-radiant-inc/iterative-development, 181 stars), User Story Writer (deanpeters/Product-Manager-Skills, 7.2k stars) and Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Taiga?

penpot (a GitHub organization) maintains it in penpot/penpot, which has 60,798 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 7, 2026.

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

Install Taiga

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Taiga API Skill

When to use

Prerequisites

Quick Start

URL Pattern Reference

Python Script Reference

Usage

Examples

Output

Reference

Files

Compare with similar skills

Similar skills

More from penpot/penpot

Related

Questions about Taiga