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Pi Graph

Category: Content  ·  Sub-category: content-misc  ·  Last updated:
ai:agenttype:review
Build, run, and iterate on Pi agent graphs (pi-graph) — explicit-state multi-agent workflows with isolated/thread/shared context modes, schema-validated node handoffs, conditional routing, fan-out/barrier, durable checkpoints, and human approval gates. Use when the user wants to design a multi-agent workflow, set up a pi-graph, orchestrate specialized agents (researcher/writer/reviewer loops, parallel fan-out, idea tournaments, human-in-the-loop approval), define reliable structured outputs between nodes, author a graph JSON, or validate/run/resume/visualize a graph. Reach for this only when the task genuinely needs specialization, parallelism, independent review, or persistent role memory — otherwise prefer a single agent loop.
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From the source SKILL.md

pi-graph orchestrates multi-agent workflows as explicit state graphs: nodes, schema-validated handoffs, static and conditional edges, reducers, supersteps, durable checkpoints, and interrupts. It is a Pi extension modeled on LangGraph's low-level orchestration.

What this skill does

Pi Graph is a community-contributed Claude Code skill in the content-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/pi-graph/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when the user wants to design a multi-agent workflow, set up a pi-graph, orchestrate specialized agents (researcher/writer/reviewer loops, parallel fan-out, idea tournaments, human-in-the-loop approval), define reliable structured outputs between nodes, author a graph JSON, or validate/run/resume/visualize a graph. Reach for this only when the task genuinely needs specialization, parallelism, independent review, or persistent role memory — otherwise prefer a single agent loop.

Who uses this skill

The Pi Graph Claude Code skill is built for content creators, marketers, copywriters, SEO professionals, and editorial teams. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 213,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/pi-graph
curl -L https://claudskills.com/skills/pi-graph/SKILL.md \
  -o ~/.claude/skills/pi-graph/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/pi-graph/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/pi-graph/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\pi-graph\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the Pi Graph Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/pi-graph/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Pi Graph skill do?
Build, run, and iterate on Pi agent graphs (pi-graph) — explicit-state multi-agent workflows with isolated/thread/shared context modes, schema-validated node handoffs, conditional routing, fan-out/barrier, durable checkpoints, and human approval gates. Use when the user wants to design a multi-agent workflow, set up a pi-graph, orchestrate specialized agents (researcher/writer/reviewer loops, parallel fan-out, idea tournaments, human-in-the-loop approval), define reliable structured outputs between nodes, author a graph JSON, or validate/run/resume/visualize a graph. Reach for this only when the task genuinely needs specialization, parallelism, independent review, or persistent role memory — otherwise prefer a single agent loop.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Pi Graph skill?
Use Pi Graph when your Claude Code task falls under the Content category — specifically in the content misc area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Pi Graph" or describe the task and let Claude pick). Browse related skills at /category/content/.
What is a Claude Code skill and how does the Pi Graph skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Pi Graph is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Content category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
huang-sh. (2026). Pi Graph [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/pi-graph/
BibTeX
@misc{pi-graph-2026,
  author    = {huang-sh},
  title     = {Pi Graph [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/pi-graph/}
}

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Security scan

Grade A · scanned 2026-11-01 — free static scan against the OWASP Agentic Skills Top 10.

The scan flagged 1 of 10 categories (filesystem), including lower-severity patterns. Patterns shown inside code fences are weighted as examples rather than instructions — read the grading methodology for what this does and does not guarantee.

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