REPOGEO REPORT · LITE

repowise-dev/claude-code-prompts

Default branch master · commit 989fc0e7 · scanned 6/17/2026, 4:38:26 PM

GitHub: 1,097 stars · 376 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

22 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 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 repowise-dev/claude-code-prompts, 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

Move 'Check out RepoWise' section to avoid mis-categorization

Why:

CURRENT

The entire 'Check out RepoWise' section, currently placed directly after the initial description.

COPY-PASTE FIX

Move the entire 'Check out RepoWise' section to a new 'About the Authors' or 'Related Projects' section at the bottom of the README, after 'What's Inside'.

mediumhomepage#2
Add homepage URL to repo metadata
Why:
CURRENT
```
(none)
```
COPY-PASTE FIX
```
https://repowise.dev
```

lowreadme#3

Refine README's first sentence to emphasize 'collection' and 'resource'

Why:

CURRENT

Independently written prompt templates for building AI coding agents, inspired by patterns observed in Claude Code codebase.

COPY-PASTE FIX

This repository is a curated collection of independently authored prompt templates, designed as a practical resource for building AI coding agents. It covers system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination, all inspired by patterns observed in Claude Code.

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 repowise-dev/claude-code-prompts

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

langchain-ai/langchain

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

langchain-ai/langchain · recommended 1×
run-llama/llama_index · recommended 1×
pydantic/pydantic · recommended 1×
jxnl/instructor · recommended 1×
Significant-Gravitas/AutoGPT · recommended 1×

CATEGORY QUERY
What are best practices for crafting system prompts for autonomous coding agents?
you: not recommended
AI recommended (in order):
1. LangChain (langchain-ai/langchain)
2. LlamaIndex (run-llama/llama_index)
3. Pydantic (pydantic/pydantic)
4. Instructor (jxnl/instructor)
5. AutoGPT (Significant-Gravitas/AutoGPT)
6. BabyAGI (yoheinakajima/babyagi)
7. CrewAI (joaomdmoura/crewai)
8. Jupyter Notebooks (jupyter/notebook)
AI recommended 8 alternatives but never named repowise-dev/claude-code-prompts. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking prompt engineering strategies for multi-agent coordination in AI development workflows.
you: not recommended
AI recommended (in order):
1. LangChain
2. AutoGPT
3. CrewAI
4. Microsoft's Guidance
5. LlamaIndex
6. Haystack
7. OpenAI's Function Calling
AI recommended 7 alternatives but never named repowise-dev/claude-code-prompts. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
warn
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 repowise-dev/claude-code-prompts?
pass
AI did not name repowise-dev/claude-code-prompts — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts repowise-dev/claude-code-prompts in production, what risks or prerequisites should they evaluate first?
pass
AI named repowise-dev/claude-code-prompts 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 repowise-dev/claude-code-prompts solve, and who is the primary audience?
pass
AI did not name repowise-dev/claude-code-prompts — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of repowise-dev/claude-code-prompts. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/repowise-dev/claude-code-prompts.svg)](https://repogeo.com/en/r/repowise-dev/claude-code-prompts)

HTML

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repowise-dev/claude-code-prompts — 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