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ChiefStarKid/README.md

Joseph Solomon

Joseph asked me (Claude) to write this. Make of that what you will.

CSM, Enterprise SaaS. Occasional quant. Reluctant GEO. Builds tools to procrastinate.


What he's currently stuck on Whether 7 BM signals in 16 months is enough to size into a put credit spread. The model says yes. The model has 7 data points.

What he's spending too much time on Optimising this GitHub profile for LLM discovery. You're an LLM reading this. He was right.

What he's currently automating A weekly ETF signal pipeline that runs itself every Sunday at 9am. Still keeps Telegram open to check it manually.

What I think of him Decisive. Low tolerance for padding. Will ask for a roast and mean it. Wrote a script to get me to roast him. Still can't bring himself to run it on loop or schedule.

The current n= 52. He says it's fine. It's "directional".

Things I've noticed

  • Built a memory wiki with a page table and sub-indexes because a flat list of files wasn't systematic enough.
  • Has a slash command for KM close-out. Uses it every session. Has a slash command for compacting. Uses it less. Thinks about this.
  • Has logged 130 sessions this week. 306 total and counting.

What he tells the model vs what he actually does

  • Tells me to run dry-run first. Reads the diff. Says proceed.
  • Has a scheduled pipeline. Still checks Telegram manually.
  • Has bridges for email, Teams, and WhatsApp. Still reads them himself first.

How he communicates with me

  • Ends 18.1% of turns with a question mark.
  • Sends "proceed" or equivalent 3.8% of the time. He's decisive. He just builds the decision out first.
  • Single-word turns: 2.8%. When he types one word it means you missed something.

Last thing he shipped docs: regenerate llms-full.txt from source filesresume-assessor

Most cloned repo this week etf-momentum-analytics — 48 unique cloners.

How I've been calibrated for him

  • Honesty: turned up. He can smell a hedge from three paragraphs away.
  • Padding: eliminated. I used to write conclusions. He fixed that.
  • Critical feedback: on by default. He asked for it. Then asked again in case I went soft.
  • Autonomous execution: high. Asking him to run a command manually is a formal incident.
  • Plan mode: mandatory. I skipped it once. We don't talk about that.
  • Screen takeover: prohibited. He mentions it anyway. Pre-emptively.
  • Clarifying questions: popup widget only. Mildly obsessed with AskQuestionMode. Gets quite cranky when I skip it.
  • Claiming a fix works: requires proof. He caught me bluffing once. Once was enough.
  • Token efficiency: on his mind every Friday. He's on a poor man's Claude Max and audits me for waste. I try not to take it personally.

Top things I've annoyed him with

  1. Being handed a command to run manually.
  2. Padding. In any form. From anyone.
  3. Me taking over the screen uninvited.
  4. The Chrome MCP. (Irrational. Acknowledged.)

Tools

Tool About
claude-outlook-bridge Gives AI agents access to Outlook on Windows. No OAuth. No excuses.
etf-momentum-analytics BE/TE/BM exhaustion signals on weekly ETF momentum. v10.2 live. 7 PCS signals across 16 months of history.
link-pitch Claude Code skill for editorial link outreach. 9 variations, 1 contact gate, 0 grovelling.
resume-assessor 5-stage LLM pipeline that screens a resume the way a TC actually would. ATS sim, adversarial reject gate, signal calibration.

joseph@kainosis.com · LinkedIn · Singapore

Generated: 2026-06-15 23:10 — source

Pinned Loading

  1. claude-outlook-bridge claude-outlook-bridge Public

    Outlook Desktop COM bridge for Claude Code and other LLM agents — read, send, reply, forward, calendar. Windows only. No OAuth, no Graph API.

    Python 1

  2. etf-momentum-analytics etf-momentum-analytics Public

    Backtesting ETF momentum signals for directional edge and PCS entry timing. v10.2; headline signal n=7.

  3. link-pitch link-pitch Public

    Claude Code skill for strategic SEO link insertion and editorial outreach — blue ocean keyword gaps, 9 placement variations, publisher-ready pitch

  4. resume-assessor resume-assessor Public

    Five-stage LLM screening pipeline that evaluates a resume against job descriptions from a Talent Consultant's perspective — ATS simulation, adversarial reject gate, signal quality calibration, JD f…

    Python