RRepoGEO

REPOGEO REPORT · LITE

Forward-Future/loop-library

Default branch main · commit 594590af · scanned 6/24/2026, 5:13:27 PM

GitHub: 1,568 stars · 129 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 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 Forward-Future/loop-library, 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
  • highreadme#1
    Reposition README H1 and opening paragraph to clarify AI agent focus

    Why:

    CURRENT
    # Loop Library
    
    Loop Library has two separate but related parts in this repository:
    
    | Part | What it is | Where it lives |
    | | | |
    | **Loop Library website** | The public catalog where people and agents can browse published loops, read them, and copy their prompts. No installation is required. | Live website · shell in [`site/`](site/), database and rendering in [`worker/`](worker/) |
    | **Loop Library skill** | An optional installable guide that helps an AI agent discover, find, audit, repair, adapt, or design loops through conversation. It uses the website's live catalog when recommending published loops. | source in [`skills/loop-library/`](skills/loop-library/) |
    
    The website is the library; the skill is a companion way to work with it.
    You can browse or give an agent the website without installing the skill. Installing the skill adds the guided workflow, but it does not install or host the website.
    
    Agents that do not have the skill can use the published
    agent guide,
    agent instructions,
    JSON catalog, or
    plain-text catalog
    directly.
    
    Each published loop tells an agent what to do, how to check its work, what to
    try next, and when to stop.
    
    ## What is a loop?
    
    Most prompts ask an agent to do something once. A loop gives the agent a way to
    learn from the result and take the next useful step.
    
    For example, a one-shot prompt might say:
    
    > Make this website faster.
    
    A loop adds the feedback that makes the work repeatable:
    
    > Find the slowest page, make one focused improvement,
    COPY-PASTE FIX
    # Loop Library: Repeatable Workflows for AI Agents
    
    Loop Library provides a catalog of practical AI-agent loops and an installable skill to help AI agents find, adapt, and design repeatable workflows. It has two separate but related parts in this repository:
    
    | Part | What it is | Where it lives |
    | | | |
    | **Loop Library website** | The public catalog where people and agents can browse published loops, read them, and copy their prompts. No installation is required. | Live website · shell in [`site/`](site/), database and rendering in [`worker/`](worker/) |
    | **Loop Library skill** | An optional installable guide that helps an AI agent discover, find, audit, repair, adapt, or design loops through conversation. It uses the website's live catalog when recommending published loops. | source in [`skills/loop-library/`](skills/loop-library/) |
    
    The website is the library; the skill is a companion way to work with it.
    You can browse or give an agent the website without installing the skill. Installing the skill adds the guided workflow, but it does not install or host the website.
    
    Agents that do not have the skill can use the published
    agent guide,
    agent instructions,
    JSON catalog, or
    plain-text catalog
    directly.
    
    Each published loop tells an agent what to do, how to check its work, what to
    try next, and when to stop.
    
    ## What is a loop?
    
    Most prompts ask an agent to do something once. A loop gives the agent a way to
    learn from the result and take the next useful step.
    
    For example, a one-shot prompt might say:
    
    > Make this website faster.
    
    A loop adds the feedback that makes the work repeatable:
    
    > Find the slowest page, make one focused improvement,
  • mediumtopics#2
    Add more specific topics related to AI agent orchestration and workflow management

    Why:

    CURRENT
    agent-skills, agentic-workflows, ai-agents, automation, codex, prompt-engineering
    COPY-PASTE FIX
    agent-skills, agentic-workflows, ai-agents, automation, codex, prompt-engineering, ai-orchestration, agent-frameworks, workflow-automation, prompt-management
  • mediumreadme#3
    Add a 'Comparison to other AI agent frameworks' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to other AI agent frameworks
    
    Unlike general-purpose AI agent frameworks such as LangChain or Semantic Kernel, Loop Library focuses specifically on providing a curated catalog of repeatable agent workflows (loops) and a skill to help agents discover, adapt, and design these loops. While frameworks offer broad tooling for building agents, Loop Library specializes in the *workflow patterns* themselves, making it a complementary tool for agents built with or without such frameworks. It's less about the agent's underlying architecture and more about the structured, repeatable tasks it performs.

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 Forward-Future/loop-library
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. microsoft/semantic-kernel · recommended 1×
  3. OpenAI Assistants API · recommended 1×
  4. apache/airflow · recommended 1×
  5. PrefectHQ/prefect · recommended 1×
  • CATEGORY QUERY
    How can I find or design repeatable workflows for my AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    3. OpenAI Assistants API
    4. Apache Airflow (apache/airflow)
    5. Prefect (PrefectHQ/prefect)
    6. Temporal (temporalio/temporal)

    AI recommended 6 alternatives but never named Forward-Future/loop-library. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for managing and automating AI agent prompt sequences?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. PromptLayer
    5. Weights & Biases Prompts
    6. OpenAI Function Calling

    AI recommended 6 alternatives but never named Forward-Future/loop-library. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 Forward-Future/loop-library?
    pass
    AI named Forward-Future/loop-library explicitly

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

  • If a team adopts Forward-Future/loop-library in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Forward-Future/loop-library 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 Forward-Future/loop-library solve, and who is the primary audience?
    pass
    AI named Forward-Future/loop-library explicitly

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

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