Azure AI Projects Python SDK
microsoft/skills
Reference for building on Microsoft Foundry with the azure-ai-projects Python SDK: project clients, versioned agents, evaluations, connections, datasets and indexes.
Authoring guide for Python user agents (type:"user") on the Friday platform via the friday-agent-sdk.
Install Writing Friday Python Agents
$ npx skills add friday-platform/friday-studio --skill writing-friday-python-agents -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install friday-platform/friday-studio writing-friday-python-agents --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/friday-platform/friday-studio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/system/skills/writing-friday-python-agents .claude/skills/writing-friday-python-agents && 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 "writing-friday-python-agents" agent skill from https://github.com/friday-platform/friday-studio/tree/main/packages/system/skills/writing-friday-python-agents into .claude/skills/writing-friday-python-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-friday-python-agents", 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/friday-platform/friday-studio/tree/main/packages/system/skills/writing-friday-python-agentsType 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 friday-platform/friday-studio --skill writing-friday-python-agents -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install friday-platform/friday-studio writing-friday-python-agents --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/friday-platform/friday-studio.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/system/skills/writing-friday-python-agents .agents/skills/writing-friday-python-agents && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "writing-friday-python-agents" agent skill from https://github.com/friday-platform/friday-studio/tree/main/packages/system/skills/writing-friday-python-agents into .agents/skills/writing-friday-python-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-friday-python-agents", 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 friday-platform/friday-studio --skill writing-friday-python-agents -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install friday-platform/friday-studio writing-friday-python-agents --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/friday-platform/friday-studio.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/system/skills/writing-friday-python-agents .cursor/skills/writing-friday-python-agents && 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 "writing-friday-python-agents" agent skill from https://github.com/friday-platform/friday-studio/tree/main/packages/system/skills/writing-friday-python-agents into .cursor/skills/writing-friday-python-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-friday-python-agents", 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/friday-platform/friday-studio.git --path packages/system/skills/writing-friday-python-agents--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 friday-platform/friday-studio --skill writing-friday-python-agents -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install friday-platform/friday-studio writing-friday-python-agents --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/friday-platform/friday-studio.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/system/skills/writing-friday-python-agents .gemini/skills/writing-friday-python-agents && 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 "writing-friday-python-agents" agent skill from https://github.com/friday-platform/friday-studio/tree/main/packages/system/skills/writing-friday-python-agents into .gemini/skills/writing-friday-python-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-friday-python-agents", 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 friday-platform/friday-studio writing-friday-python-agentsInstalls 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 friday-platform/friday-studio --skill writing-friday-python-agents -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/friday-platform/friday-studio.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/system/skills/writing-friday-python-agents .github/skills/writing-friday-python-agents && 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 "writing-friday-python-agents" agent skill from https://github.com/friday-platform/friday-studio/tree/main/packages/system/skills/writing-friday-python-agents into .github/skills/writing-friday-python-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-friday-python-agents", 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 friday-platform/friday-studio --skill writing-friday-python-agents -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install friday-platform/friday-studio writing-friday-python-agents --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/friday-platform/friday-studio.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/system/skills/writing-friday-python-agents .opencode/skills/writing-friday-python-agents && 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 "writing-friday-python-agents" agent skill from https://github.com/friday-platform/friday-studio/tree/main/packages/system/skills/writing-friday-python-agents into .opencode/skills/writing-friday-python-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-friday-python-agents", 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
writing-friday-python-agents- GitHub stars
- 104
- Token cost
- ~3.6k tokens
- SKILL.md length
- 1,222 words
- Files
- 4 (incl. references)
- Skills in repo
- 20
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Authoring guide for Python user agents (type:"user") on the Friday platform via the friday-agent-sdk.
- Works in 3 steps: The @agent decorator with at least id,… → run() in __main__ — this is the NATS… → Return ok() or err() — never return raw…
- Tasks that involve Building AI agents
- SKILL.md covers Every Agent Looks Like This, Capabilities Quick Reference, Structured Input Handling and Result Types, plus 4 more sections
- Needs GITHUB_TOKEN and API_KEY
What it does
Writing Friday Python Agents is an agent skill from friday-platform/friday-studio. Authoring guide for Python user agents (type:"user") on the Friday platform via the friday-agent-sdk. Covers the @agent decorator, AgentContext capabilities (ctx.llm, ctx.http, ctx.tools, ctx.stream), structured input parsing, result types, and the NATS subprocess execution model. Load when an agent.py exists in scope, when imports from fridayagentsdk are present, when an @agent decorator is being authored or modified, or when upsertagent was just called with type:user. Do NOT load to decide whether to author a…
Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/api.md`, `references/constraints.md` and `references/examples.md`).
It sits in AI & LLM Engineering, covering Building AI agents. It works with Python. The repository describes itself as: Agent Harness Platform — shareable workspaces, MCP tools, skills, memory, and cron/webhook automations. Self-hosted and transparent.
When your agent uses it
- Tasks that involve Building AI agents
Example prompts
- “/writing-friday-python-agents”
Requirements
- Python 3
- A credential in API_KEY
- A credential in GITHUB_TOKEN
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- The @agent decorator with at least id, version, description.
- run() in __main__ — this is the NATS entry point. Without it, the
- Return ok() or err() — never return raw dicts/strings.
What it can do on your machine
Read from SKILL.md and the folder at commit fb3069a. 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 (its code samples are python and yaml).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
GITHUB_TOKENAPI_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Writing Friday Python Agents loads about 3.6k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 156 tokens; SKILL.md has 1,222 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.
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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,222 words (~3,644 tokens).
“This skill is vendored from the friday-agent-sdk repo. Edits should land upstream first; scripts/sync-sdk-skill.ts re-vendors for the pinned FRIDAY_AGENT_SDK_VERSION (see tools/friday-launcher/paths.go). -->”
- name
- writing-friday-python-agents
- vendored-from
- friday-platform/agent-sdk@832d539ded2c87d1a2c4ee91a2cfc8407b68eb74
- vendored-path
- packages/python/skills/writing-friday-python-agents/
- vendored-version
- 0.1.9
Files
SKILL.md and 3 other files (references) in packages/system/skills/writing-friday-python-agents of friday-platform/friday-studio.
- SKILL.md
- references/api.md
- references/constraints.md
- references/examples.md
Open the folder on GitHubat commit fb3069a
Compare with similar skills
Writing Friday Python Agents 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 |
|---|---|---|---|---|---|---|
| Writing Friday Python Agents this skillfriday-platform/friday-studio | 104 | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Azure AI Projects Python SDKmicrosoft/skills | 3.1k | 6 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit | 260 | 4 repos | ~1.4k | Automated safety check: Pass | Custom licence | |
| Google Agents CLI Adk Codepifferologo/cloud-agents-cli | 129 | 1 repos | ~768 | Automated safety check: Pass | Apache-2.0 | |
| DSPy Language Model ProgrammingOrchestra-Research/AI-Research-SKILLs | 13k | 10 repos | ~3.8k | Automated safety check: Pass | MIT | |
| E2b Code Interpreteragent-sandbox/agent-sandbox | 218 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
Senior Prompt Engineer
maslennikov-ig/claude-code-orchestrator-kit
Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.
Google Agents CLI Adk Code
pifferologo/cloud-agents-cli
This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management", or needs ADK (Agent…
DSPy Language Model Programming
Orchestra-Research/AI-Research-SKILLs
Teaches an agent to build LM pipelines, RAG systems and agents in DSPy using signatures, modules and optimizers instead of hand-tuned prompts.
E2b Code Interpreter
agent-sandbox/agent-sandbox
Execute code in E2B sandboxes and integrate with LLMs for tool calling.
- Official
Code Snippets
MicrosoftDocs/semantic-kernel-docs
How to reference code from sample repos in Agent Framework docs pages using :::code directives, snippet tags, zone pivots, and highlight attributes.
More from friday-platform/friday-studio
All 20 skills in this repoAuthoring Skills
friday-platform/friday-studio
Authors new agent skills that follow the Anthropic + agentskills.io specification.
Friday CLI
friday-platform/friday-studio
Interacts with a running Friday daemon via CLI and HTTP — lists/creates/modifies workspaces, triggers signals, watches sessions, publishes skills and agents.
Workspace API
friday-platform/friday-studio
Create, list, update, delete, and clean up workspaces via the daemon HTTP API at $FRIDAYDURL.
Writing Workspace Signals
friday-platform/friday-studio
Authors Friday workspace signals with correct provider configs, payload schemas, and runtime wiring.
Composing Emails
friday-platform/friday-studio
General styling and tone guidelines for composing HTML emails.
Repairing Workspaces Agents
friday-platform/friday-studio
Repairs and upgrades existing Friday workspaces, jobs, user agents, and generated agents to current runtime contracts.
Related
Works with
Categories
Questions about Writing Friday Python Agents
What does Writing Friday Python Agents do?
Authoring guide for Python user agents (type:"user") on the Friday platform via the friday-agent-sdk. Writing Friday Python Agents is an agent skill from friday-platform/friday-studio. Authoring guide for Python user agents (type:"user") on the Friday platform via the friday-agent-sdk.
When should I use Writing Friday Python Agents?
Writing Friday Python Agents fits situations like: tasks that involve Building AI agents.
How do I install Writing Friday Python Agents in Claude Code?
Run `npx skills add friday-platform/friday-studio --skill writing-friday-python-agents -a claude-code`. Or copy the skill folder (packages/system/skills/writing-friday-python-agents in friday-platform/friday-studio) into .claude/skills/writing-friday-python-agents in your project. Claude Code loads it when a task matches its description.
How do I install Writing Friday Python Agents in Codex?
Run `npx skills add friday-platform/friday-studio --skill writing-friday-python-agents -a codex`. Or copy the skill folder (packages/system/skills/writing-friday-python-agents in friday-platform/friday-studio) into .agents/skills/writing-friday-python-agents in your project. Codex loads it when a task matches its description.
Can I use Writing Friday Python Agents 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 friday-platform/friday-studio --skill writing-friday-python-agents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/writing-friday-python-agents, .gemini/skills/writing-friday-python-agents, .github/skills/writing-friday-python-agents and .opencode/skills/writing-friday-python-agents in your project.
What does Writing Friday Python Agents need to run?
Going by SKILL.md and its folder, Writing Friday Python Agents needs credentials named GITHUB_TOKEN and API_KEY. Our summary lists: Python 3; A credential in API_KEY; A credential in GITHUB_TOKEN.
Does Writing Friday Python Agents access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Writing Friday Python Agents 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 Writing Friday Python Agents use?
Writing Friday Python Agents has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Writing Friday Python Agents use?
About 3.6k tokens (SKILL.md is roughly 15k 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 8.9k tokens, read only when the agent opens those files.
What are the alternatives to Writing Friday Python Agents?
Skills that share tags, products or a category with Writing Friday Python Agents: Azure AI Projects Python SDK (microsoft/skills, 3.1k stars), Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), Google Agents CLI Adk Code (pifferologo/cloud-agents-cli, 129 stars) and DSPy Language Model Programming (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Writing Friday Python Agents?
friday-platform (a GitHub organization) maintains it in friday-platform/friday-studio, which has 104 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on September 5, 2026.
Source: friday-platform/friday-studio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.