FreeSkills
Commits, branches and sync with the but CLI
- 361361 downloads
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Works with
- Claude Code
- Codex
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LangGraph workflows in Python v1.0.0
Use this resource to design LangGraph workflows in Python: state, routing, parallelism and human control
New
- 371 downloads
- 191 likes
- 113 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install langgraph-workflow-patternsWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent applies LangGraph 1.x patterns: state management, per-node timeouts and error handling, routing, parallel fan-out, supervisor and worker schemes, tool calling, checkpoints, human approval and streaming flows.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- rules/checkpoints-*.md: checkpoints, recovery and storage
- rules/human-in-loop-*.md: approval, feedback and human interrupts
- rules/parallel-*.md and functional-*.md: parallel execution and the functional API
Good fit for
- You build a multi-agent pipeline in Python
- You want human approval before a sensitive action
Not for
Tags
- langgraph
- agents
- python
About
You say
“Add a human approval step before my agent sends the result.”
Skill published by yonatangross under the MIT license, delivered in its original version.
Show moreShow less
How to use it
- Install the skill in your agent's skills folder
- Ask your agent to design LangGraph workflows in Python: state, routing, parallelism and human control
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- metadata.json0.7 KB
- NOTICE-PALATEKIT.md0.5 KB
- rules/_sections.md5.3 KB
- rules/_template.md0.4 KB
- rules/checkpoints-recovery.md2.2 KB
- rules/checkpoints-setup.md1.6 KB
- rules/checkpoints-store.md3.2 KB
- rules/functional-entrypoint.md2.2 KB
- rules/functional-migration.md3.5 KB
- rules/functional-task.md2 KB
- rules/human-in-loop-approval.md1.9 KB
- rules/human-in-loop-feedback.md2.2 KB
- rules/human-in-loop-interrupt.md2.2 KB
- rules/parallel-error-isolation.md1.9 KB
- rules/parallel-fanout-fanin.md2.2 KB
- rules/parallel-map-reduce.md1.9 KB
- rules/platform-deployment.md3.6 KB
- rules/platform-double-texting.md3.9 KB
- rules/platform-remote-graph.md3.1 KB
- rules/resilience-error-handlers.md3.2 KB
- rules/resilience-graceful-drain.md3 KB
- rules/resilience-node-timeouts.md3.5 KB
- rules/routing-conditional.md1.9 KB
- rules/routing-cross-graph.md4 KB
- rules/routing-retry-loops.md2.8 KB
- rules/routing-semantic.md2.5 KB
- rules/state-delta-channel.md3.5 KB
- rules/state-messages.md1.7 KB
- rules/state-pydantic.md1.6 KB
- rules/state-reducers.md2.3 KB
- rules/state-typeddict.md2.4 KB
- rules/streaming-custom-events.md2.3 KB
- rules/streaming-modes.md1.9 KB
- rules/streaming-tokens.md1.7 KB
- rules/streaming-v2-format.md2.5 KB
- rules/subgraphs-add-as-node.md1.9 KB
- rules/subgraphs-invoke.md2 KB
- rules/subgraphs-state-mapping.md2.4 KB
- rules/supervisor-basic.md2.3 KB
- rules/supervisor-priority.md2.4 KB
- rules/supervisor-round-robin.md2 KB
- rules/tools-bind.md3 KB
- rules/tools-dynamic.md2.7 KB
- rules/tools-interrupts.md2.5 KB
- rules/tools-toolnode.md1.9 KB
- SKILL.md16.8 KB
- test-cases.json22.7 KB
Origin and licence
Listed unmodified
- Author
- yonatangross
- Source
- github.com/yonatangross/orchestkit/tree/18a6aaa53d9971ef094b0758b08dfc606a1ea4bc/src/skills/langgraph
- Licence
- MIT
Notice
« langgraph » (yonatangross, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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