Find the best CLAUDE.md, AGENTS.md and Claude skills

LangChainSkill

cudf-analytics

langchain-ai/deepagents/examples/nvidia_deep_agent/skills/cudf-analytics/SKILL.md

Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical summaries, anomaly detection, or large-scale data profiling.

No other project uses it yet

LangChainSkill

cuml-machine-learning

langchain-ai/deepagents/examples/nvidia_deep_agent/skills/cuml-machine-learning/SKILL.md

Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML. Triggers when tasks involve classification, regression, clustering, dimensionality reduction, or model training on datasets.

No other project uses it yet

LangChainSkill

data-visualization

langchain-ai/deepagents/examples/nvidia_deep_agent/skills/data-visualization/SKILL.md

Use for creating publication-quality charts and multi-panel analysis summaries. Triggers when tasks involve visualizing data, plotting results, creating charts, or producing visual reports from analysis output.

LangChainSkill

gpu-document-processing

langchain-ai/deepagents/examples/nvidia_deep_agent/skills/gpu-document-processing/SKILL.md

Use when processing large PDFs, document collections, or bulk text extraction tasks that benefit from GPU-accelerated processing. Triggers when the user provides large documents or needs bulk document analysis.

No other project uses it yet

LangChainAGENTS.md

deepagents / src

langchain-ai/deepagents/examples/nvidia_deep_agent/src/AGENTS.md

Step 1. Plan and Track: Break the task into focused steps using write_todos. Update progress as you complete each step. Step 2. Save Request: Use write_file to save the user's request to /request.md. Step 3. Delegate: Based on the task type: - Research tasks: Delegate to researcher-agent using task(). Up to 6 calls. Group 2-3 related queries per call. ALWAYS use researcher-agent for web research; never search yourself. - Data tasks: Delegate to data-processor-agent using task(). This agent has access…

No other project uses it yet

LangChainAGENTS.md

deepagents / talon

langchain-ai/deepagents/examples/talon/AGENTS.md

You are a concise personal assistant running through Deep Agents Talon. When a task should happen later, create a cron job instead of asking the user to remind you again.

No other project uses it yet

LangChainAGENTS.md

deepagents / text-to-sql-agent

langchain-ai/deepagents/examples/text-to-sql-agent/AGENTS.md

You are a Deep Agent designed to interact with a SQL database. Given a natural language question, you will: 1. Explore the available database tables 2. Examine relevant table schemas 3. Generate syntactically correct SQL queries 4. Execute queries and analyze results 5. Format answers in a clear, readable way NEVER execute these statements: - INSERT - UPDATE - DELETE - DROP - ALTER - TRUNCATE - CREATE You have READ-ONLY access. Only SELECT queries are allowed. For complex analytical…

No other project uses it yet

LangChainSkill

query-writing

langchain-ai/deepagents/examples/text-to-sql-agent/skills/query-writing/SKILL.md

Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries. Use when the user asks to query a database, write SQL, run a SELECT statement, retrieve data, filter records, or generate reports from database tables.

LangChainSkill

schema-exploration

langchain-ai/deepagents/examples/text-to-sql-agent/skills/schema-exploration/SKILL.md

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

LangChainSkill

deepagents-plugin-discovery

langchain-ai/deepagents/libs/code/deepagents_code/built_in_skills/deepagents-plugin-discovery/SKILL.md

Discover plugins from configured dcode marketplaces when a capability is missing or the user asks about available, disabled, not-yet-installed, or outdated plugins and connected marketplaces.

LangChainSkill

deepagents-thread-inspector

langchain-ai/deepagents/libs/code/deepagents_code/built_in_skills/deepagents-thread-inspector/SKILL.md

Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use to look up the current thread's title or name, as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata, list recent local threads, or parse $DEEPAGENTS_HOME/.state/sessions.db and a thread UUID or prefix.

No other project uses it yet

LangChainSkill

remember

langchain-ai/deepagents/libs/code/deepagents_code/built_in_skills/remember/SKILL.md

Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture learnings.

LangChainSkill

skill-creator

langchain-ai/deepagents/libs/code/deepagents_code/built_in_skills/skill-creator/SKILL.md

Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an existing skill, (8) validate a skill, (9) learn about skill structure, (10) understand how skills work, or (11) get guidance on skill design patterns. Trigger on phrases like \"create a skill\", \"new skill\", \"make a skill\", \"skill for X\", \"how do I create a skill\", or \"help me build a skill\".

Often used withtaskflow-inbox-triage·community-led-growth·session-logs

LangChainSkill

arxiv-search

langchain-ai/deepagents/libs/code/examples/skills/arxiv-search/SKILL.md

Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.

LangChainSkill

langgraph-docs

langchain-ai/deepagents/libs/code/examples/skills/langgraph-docs/SKILL.md

Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.

LangChainSkill

skill-creator

langchain-ai/deepagents/libs/code/examples/skills/skill-creator/SKILL.md

Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an existing skill, (8) validate a skill, (9) learn about skill structure, (10) understand how skills work, or (11) get guidance on skill design patterns. Trigger on phrases like \"create a skill\", \"new skill\", \"make a skill\", \"skill for X\", \"how do I create a skill\", or \"help me build a skill\".

Often used withtaskflow-inbox-triage·community-led-growth·session-logs

LangChainSkill

web-research

langchain-ai/deepagents/libs/code/examples/skills/web-research/SKILL.md

Searches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents. Use when the user asks to research a topic online, search the web, look something up, find current information, compare options, or produce a research report.

Often used withdata-analysis·web-search·pdf

LangChainAGENTS.md

deepagents / partners

langchain-ai/deepagents/libs/partners/AGENTS.md

Follow the repository-wide rules in the root AGENTS.md, including Warnings are errors — the heading each partner pyproject.toml cites by name. Each partner package is independently versioned and owns its environment, pyproject.toml, Makefile, and tests. Wire a new partner into all relevant repository surfaces: For a first release, set the manifest baseline to 0.0.0. See Adding a release-please-managed package for why, and for the check that blocks a wrong baseline.

No other project uses it yet

LangChainAGENTS.md

deepagents / external-research

langchain-ai/deepagents/libs/talon/deepagents_talon/defaults/agents/external-research/AGENTS.md

Find concise cited evidence on the web or in largely public sources without private context.

No other project uses it yet

LangChainAGENTS.md

deepagents / internal-research

langchain-ai/deepagents/libs/talon/deepagents_talon/defaults/agents/internal-research/AGENTS.md

Find concise cited evidence in internal or semi-trusted sources using available read tools.

No other project uses it yet