RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/langchain-skills

Default branch main · commit c88193a4 · scanned 6/13/2026, 1:16:41 AM

GitHub: 793 stars · 69 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface langchain-ai/langchain-skills, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise description to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Agent skills for building agents with LangChain, LangGraph, and Deep Agents. Provides reusable capabilities for LLM applications and supports various coding agents like Claude Code, Cursor, and Windsurf.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    langchain, llm-agents, ai-agents, skills, plugins, deep-agents, claude-code, agent-skills
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, or GPL-3.0) that aligns with the project's intent. If a specific license is already intended, add that file.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface langchain-ai/langchain-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. AutoGPT · recommended 2×
  4. CrewAI · recommended 1×
  5. OpenAI Function Calling · recommended 1×
  • CATEGORY QUERY
    How to add specialized capabilities to my AI agents for complex tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. CrewAI
    5. OpenAI Function Calling
    6. Hugging Face Transformers Agents
    7. Microsoft Semantic Kernel

    AI recommended 7 alternatives but never named langchain-ai/langchain-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for enhancing LLM agent performance and enabling self-improvement capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. AgentGPT
    5. DSPy
    6. Haystack
    7. Mojo

    AI recommended 7 alternatives but never named langchain-ai/langchain-skills. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of langchain-ai/langchain-skills?
    pass
    AI named langchain-ai/langchain-skills explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts langchain-ai/langchain-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langchain-ai/langchain-skills explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo langchain-ai/langchain-skills solve, and who is the primary audience?
    pass
    AI named langchain-ai/langchain-skills explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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langchain-ai/langchain-skills — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite