RRepoGEO

REPOGEO REPORT · LITE

rjs/shaping-skills

Default branch main · commit d8b65d77 · scanned 6/24/2026, 8:22:50 AM

GitHub: 1,365 stars · 85 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
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 rjs/shaping-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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to clarify what the repo offers

    Why:

    CURRENT
    Claude Code skills for shaping and breadboarding — the methodology from Shape Up adapted for working with an LLM.
    COPY-PASTE FIX
    A collection of Claude Code prompts and prompt engineering techniques for shaping and breadboarding — applying the Basecamp Shape Up methodology with an LLM.
  • mediumlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file (e.g., MIT License) to the repository root.

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 rjs/shaping-skills
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Otter.ai
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Otter.ai · recommended 2×
  2. Notion AI · recommended 2×
  3. Fireflies.ai · recommended 1×
  4. ChatGPT (OpenAI GPT-4) · recommended 1×
  5. Anthropic Claude 3 · recommended 1×
  • CATEGORY QUERY
    How can AI help generate structured project shaping and planning documents from conversations?
    you: not recommended
    AI recommended (in order):
    1. Otter.ai
    2. Fireflies.ai
    3. ChatGPT (OpenAI GPT-4)
    4. Anthropic Claude 3
    5. Google Gemini Advanced
    6. Notion AI
    7. ClickUp AI
    8. Microsoft Copilot (for Microsoft 365)

    AI recommended 8 alternatives but never named rjs/shaping-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools assist in distilling team meeting transcripts into clear project framing documents?
    you: not recommended
    AI recommended (in order):
    1. Notion AI
    2. ChatGPT
    3. Claude
    4. Google Gemini
    5. Fellow
    6. Tactiq
    7. Otter.ai
    8. Coda AI

    AI recommended 8 alternatives but never named rjs/shaping-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 rjs/shaping-skills?
    pass
    AI named rjs/shaping-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 rjs/shaping-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named rjs/shaping-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 rjs/shaping-skills solve, and who is the primary audience?
    pass
    AI named rjs/shaping-skills explicitly

    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 rjs/shaping-skills. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/rjs/shaping-skills.svg)](https://repogeo.com/en/r/rjs/shaping-skills)
HTML
<a href="https://repogeo.com/en/r/rjs/shaping-skills"><img src="https://repogeo.com/badge/rjs/shaping-skills.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

rjs/shaping-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