Gsc Candlestick Report
Description
Claude Code skill that turns Google Search Console data into monthly candlestick charts. See keyword ranking direction AND volatility at a glance.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
GSC Candlestick SEO Report
A Claude Code skill that turns Google Search Console data into monthly candlestick charts. See keyword ranking direction AND volatility at a glance.
**v2 — direct API.** Calls the Search Console API directly, bypassing MCP. A 6-month pull of 30 keywords takes ~3 seconds and costs ~600 tokens (vs. ~190k tokens and 5+ minutes on v1). Same output, 100× faster.
  
TL;DR for returning users
cd your-project-folder
# if you don't have keywords.yml yet:
cp ~/.claude/skills/gsc-candlestick-report/keywords.example.yml ./keywords.yml
# then in Claude Code:
/gsc-candlestick-report
Report lands in `./SEO_CandleStick/YYYY-MM-DD/candlestick-report.html`.
Installing for the first time
Two ways: **let Claude walk you through it** (easier) or **follow the manual steps below** (faster if you're comfortable in a terminal).
Option A — Let Claude walk you through install
Open Claude Code and paste this prompt:
Read https://github.com/gareth-builds/gsc-candlestick-report/blob/main/README.md
and walk me through installing and running this skill from scratch.
Rules:
- Treat me as a fresh install. Verify each prerequisite, skip what I already have.
- For every browser action (Google Cloud Console, downloads), stop and wait for me
to reply "done".
- Once credentials.json is saved, help me create my first keywords.yml.
- Run the skill and summarise the output.
Claude handles the rest. Total time: ~10 minutes.
Option B — Manual install
Three steps. All run on your machine. Nothing is pushed anywhere.
Step 1 — Install the skill + Python dependencies
Copy-paste the whole block:
# Clone the skill into Claude Code's skills folder
git clone https://github.c
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