deep-agents-core
Skill1 starsChanged 3 months agoNo licenceView on GitHub
INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.
8 other projects use a version of this, 7 of them edited.
Adopted by
Most recently taken up by
- langchain-ai/design-agentedited, first seen Oct 25, 2026
- langchain-ai/langchain-skillsedited, first seen Oct 13, 2026
- gerald-donkor/poli-inteledited, first seen Oct 11, 2026
- NeoVand/op-xy-agentedited, first seen Oct 9, 2026
- zoujindouGithub/agent-skillsedited, first seen Sep 2, 2026
- buduan/soul-graphedited, first seen Jun 7, 2026
Used with
Projects with it also use managed-deep-agents, langchain-typescript-quickstart and 6 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
LangChainSkillmanaged-deep-agents
INVOKE THIS SKILL when building, testing, or deploying Managed Deep Agents in LangSmith. Walks a user through their first agent end to end — interviewing them about what they want to build, mapping it onto what MDA can actually do, then scaffolding and deploying it. Covers the file-based project layout; define_deep_agent / defineDeepAgent; instructions, skills, memory, identity, tools, MCP servers, connections, middleware, sandboxes, schedules, channels, and evals; the mda CLI; GitHub deployments; and Context Hub.
Also in 5 projects that use this
LangChainSkilllangchain-typescript-quickstart
Scaffold a minimal local LangChain agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.
Also in 4 projects that use this
- +6 more from langchain-ai
Other versions8 projects use a version of this.
Word for word · 1
- langchain-ai/skills-benchmarks★ 116100% same
Edited · 7
- langchain-ai/langchain-skills★ 1.3k100% same
- langchain-ai/design-agent★ 596100% same
- buduan/soul-graph★ 2100% same
- gerald-donkor/poli-intel★ 1100% same
- NeoVand/op-xy-agent★ 1100% same
- zoujindouGithub/agent-skills★ 144% same
- danielvogler/ai-skills-library★ 0100% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository179 other files it gives its agents.
- supabase-postgres-best-practices/AGENTS.mdAGENTS.md
- 60fps-animationSkill
- academic-conference-posterSkill
- academic-pptxSkill
- academic-researcherSkill
- accessible-animationSkill
- ad-creative-videoSkill
- after-effectsSkill
- agent-browserSkill
- algorithm-designSkill
- algorithmic-artSkill
- animated-infographicSkill
- animation-principlesSkill
- ascii-animationSkill
- ask-mattSkill
- atomic-decompositionSkill
- audiogramSkill
- audit-websiteSkill
- availability-bookingSkill
- backward-traceabilitySkill
- beat-sync-editingSkill
- brand-guidelinesSkill
- brandkitSkill
- brand-motion-guidelinesSkill
- calendarSkill
- canvas-designSkill
- caption-animationSkill
- chart-animationSkill
- citation-managementSkill
- client-revisionsSkill
- codebase-designSkill
- code-debuggingSkill
- code-reviewSkill
- color-motionSkill
- contentSkill
- countdown-videoSkill
- create-auth-skillSkill
- creative-briefSkill
- dashiai-pptSkill
- data-analysisSkill
- deck-managementSkill
- deep-agents-memorySkill
- deep-agents-orchestrationSkill
- deep-researchSkill
- design-taste-frontendSkill
- design-taste-frontend-v1Skill
- diagnosing-bugsSkill
- diagram-animationSkill
- doc-coauthoringSkill
- docker-migration-toolboxSkill
- docxSkill
- domain-modelingSkill
- excalidraw-skillSkill
- experiment-codeSkill
- experiment-designSkill
- explainer-videoSkill
- figure-generationSkill
- find-skillsSkill
- framework-selectionSkill
- frontend-code-reviewSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
4 rules. 4 are common, 0 are distinctive, and 0 are very specific to this project.
4
Common
Most of the 6 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

