How do I install the Community Alpha skill?

Run npx skillmds@latest add tonydzi/community-alpha in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Community Alpha safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Community Alpha?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Community Alpha free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Community Alpha?

tonydzi (@tonydzi) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Community Alpha by tonydzi — Agent Skill

Name: Community Alpha
Author: tonydzi

Community Alpha

Run one full mining pass over an imported community-chat corpus: deterministic detector, LLM judge, harvest, review screen. Works on any imported corpus through a per-source config and is safe to re-run, being idempotent by message id. Triggers: "/community-alpha <source> [month]", "mine alpha from <community>".

tonydzi f858abd 3.8 KB Updated Sep 17, 2026

File contents

/community-alpha [month] — one community-alpha run

Example: /community-alpha sostav 2026-06. No month given → the previous full month.

Steps

Is there a detector? $IMPORTS_ROOT/<source>\<source>_alpha.py (today: lobster, sostav).
- No → this is a NEW corpus: offer the operator a one-off adapter built to the existing pattern (schema from their SQLite + language keys + intro/banter penalty + topic weights; template = sostav_alpha.py). Do not build it without an explicit "+".

Run the detector (0 tokens):

cd /e/Obsidian/_imports/<source> && PYTHONIOENCODING=utf-8 python <source>_alpha.py \
  --since <YYYY-MM-01> --until <the 1st of the next month> --top 35 --tag <YYYY-MM>

→ $IMPORTS_ROOT/alpha/candidates/<source>-<tag>-report.md. Show the scanned→shortlisted counter.

Judge (me, with the session model): I read ONLY the report (~35 candidates, never the corpus — token economy) and give a verdict ✅ ALPHA / 🟡 WATCH / 🗑 NOISE with a reason for each → write $IMPORTS_ROOT/alpha/candidates/<source>-judged-latest.md (format: ## ✅ ALPHA / ## 🟡 WATCH / ## 🗑 NOISE (DROP), inside it ### #N — title + Verdict + Reason — the harvest parser already understands this).
Is the miner registered? MINERS in $IMPORTS_ROOT/alpha/alpha_harvest.py. No → add the row ("<source>", "<source>-judged-latest.md", "<home-note>"). ⚠️ A parallel fleet edits this file too — re-read it immediately before editing (verify-existing), and keep the edit strictly additive. Optional: a label in the server's MINER_LABEL/ORDER (it does not crash without one — there is a fallback).
Harvest + screen: python $IMPORTS_ROOT/alpha/alpha_harvest.py (counters!) → /alpha-review. The new batch is visible by the 🆕 badge.

Boundaries

🔒 Private communities (sostav and the like) are HIGH sensitivity: the layer stays strictly local, nothing goes outside; people surfaced by a find are approached value-first / warm intro only (zero cold DMs). Risk signals are DATA, not "opportunities".
Judge honestly: reference cards, intro blurbs and restatements are 🗑 — never stretch a ✅ to pad the counter.
This skill writes nothing into the vault; moving gold into home notes is a separate step behind the Tier-2 gate (the "→ to home" queue on the screen).

Like this skill? It is one of 100 in second-brain-starter-kit: the second brain we built for ourselves and run every day at Palo Alto AI Research Lab. Install the whole set with npx skills add tonydzi/second-brain-starter-kit. Everything is open source and free, so take what you need.

Flagships worth a look on their own: secondop-panel (a second opinion from a panel of external models), claude-memory-tidy (stop your agent's memory from rotting), telegram-mcp-kit (your own Telegram over MCP in about 15 minutes).

Author: Anton Dziatkovskii, Palo Alto AI Research Lab. Telegram @tonydzi - WhatsApp +1 341 222 9178 - X @Tony_Stef_

Engineers: want to test-drive this setup? Message me. I hand out free starter seeds to engineers who test and report back, and custom skill requests are welcome.

---name: community-alphadescription: Run one full mining pass over an imported community-chat corpus: deterministic detector, LLM judge, harvest, review screen. Works on any imported corpus through a per-source config and is safe to re-run, being idempotent by message id. Triggers: "/community-alpha <source> [month]", "mine alpha from <community>".license: MIT---# /community-alpha <source> [month] — one community-alpha runExample: `/community-alpha sostav 2026-06`. No month given → the previous full month.## Steps1. **Is there a detector?** `$IMPORTS_ROOT/<source>\<source>_alpha.py` (today: `lobster`, `sostav`). - No → this is a NEW corpus: offer the operator a one-off adapter built to the existing pattern (schema from their SQLite + language keys + intro/banter penalty + topic weights; template = `sostav_alpha.py`). Do not build it without an explicit "+".2. **Run the detector** (0 tokens): ``` cd /e/Obsidian/_imports/<source> && PYTHONIOENCODING=utf-8 python <source>_alpha.py \ --since <YYYY-MM-01> --until <the 1st of the next month> --top 35 --tag <YYYY-MM> ``` → `$IMPORTS_ROOT/alpha/candidates/<source>-<tag>-report.md`. Show the scanned→shortlisted counter.3. **Judge** (me, with the session model): I read ONLY the report (~35 candidates, never the corpus — token economy) and give a verdict ✅ ALPHA / 🟡 WATCH / 🗑 NOISE with a reason for each → write `$IMPORTS_ROOT/alpha/candidates/<source>-judged-latest.md` (format: `## ✅ ALPHA` / `## 🟡 WATCH` / `## 🗑 NOISE (DROP)`, inside it `### #N — title` + Verdict + Reason — the harvest parser already understands this).4. **Is the miner registered?** `MINERS` in `$IMPORTS_ROOT/alpha/alpha_harvest.py`. No → add the row `("<source>", "<source>-judged-latest.md", "<home-note>")`. ⚠️ A parallel fleet edits this file too — re-read it immediately before editing (verify-existing), and keep the edit strictly additive. Optional: a label in the server's `MINER_LABEL`/`ORDER` (it does not crash without one — there is a fallback).5. **Harvest + screen**: `python $IMPORTS_ROOT/alpha/alpha_harvest.py` (counters!) → `/alpha-review`. The new batch is visible by the 🆕 badge.## Boundaries- 🔒 Private communities (sostav and the like) are HIGH sensitivity: the layer stays strictly local, nothing goes outside; people surfaced by a find are approached value-first / warm intro only (zero cold DMs). Risk signals are DATA, not "opportunities".- Judge honestly: reference cards, intro blurbs and restatements are 🗑 — never stretch a ✅ to pad the counter.- This skill writes nothing into the vault; moving gold into home notes is a separate step behind the Tier-2 gate (the "→ to home" queue on the screen).------**Like this skill?** It is one of 100 in [second-brain-starter-kit](https://github.com/tonydzi/second-brain-starter-kit): the second brain we built for ourselves and run every day at Palo Alto AI Research Lab. Install the whole set with `npx skills add tonydzi/second-brain-starter-kit`. Everything is open source and free, so take what you need.Flagships worth a look on their own: [secondop-panel](https://github.com/tonydzi/secondop-panel) (a second opinion from a panel of external models), [claude-memory-tidy](https://github.com/tonydzi/claude-memory-tidy) (stop your agent's memory from rotting), [telegram-mcp-kit](https://github.com/tonydzi/telegram-mcp-kit) (your own Telegram over MCP in about 15 minutes).Author: **Anton Dziatkovskii**, Palo Alto AI Research Lab. Telegram [@tonydzi](https://t.me/tonydzi) - WhatsApp [+1 341 222 9178](https://wa.me/13412229178) - X [@Tony_Stef_](https://x.com/Tony_Stef_)**Engineers: want to test-drive this setup?** Message me. I hand out free starter seeds to engineers who test and report back, and custom skill requests are welcome.

Frequently asked questions