CONTENT_MINE — sessions → funnel drafts (draft-first, taste delegated to me)
GOAL: mine our Claude Code sessions for content-worthy MOMENTS and drop them as DRAFTS into the content-factory funnel. Publishing happens only on the operator's explicit "+" through /episode. Nothing goes out.
The operator delegated the taste call — "what deserves to be content" — to me (2026-07-08). I don't ask what to add; I decide.
PATHS:
- Engine:
$IMPORTS_ROOT/content-factory\content_miner.py (same family as alpha-extraction / intention_mine; reads the live vault_sessions pool).
- Funnel (intake):
content-factory\triage\posts.jsonl (+ posts.md), source_kind: session. Writes through voice_triage.py append (dedup/upsert).
- Digest:
content-factory\miner\candidates\cand-latest.md. Ledger: miner\captured.jsonl.
STEPS:
- SCAN (deterministic, 0 tokens). Recent by default:
python content_miner.py mine --days 7. Backlog / the whole archive: mine --all --operator Anton --cap 150. Flags: --day YYYY-MM-DD, --operator all, --cap N. Note OVER_THRESHOLD and OUT.
- Empty (SESSIONS=0 / OVER_THRESHOLD=0) → say "no fresh moments worth capturing" and stop.
- READ the digest
cand-latest.md (or OUT). Each ### = a session src | date | machine | operator [PRIV] {score · tags} + a headline + snippets ([U]=the operator, [A]=Claude). Look at the top ones (HOT→WARM); on large volumes, fan out Sonnet judges over slices (see miner\slices\), they return JSON verdicts, you dedup and capture.
- JUDGE BY TASTE: keep the genuinely worthy and DIFFERENT stories (built/shipped it · a war with a bug / a root cause · a human+AI, multi-machine or consensus technique · a sharp insight · a "wow"). Drop routine, thin, forked duplicates (similar headline → one story), purely private material. Positioning: non-coder + AI is the trump card; the goal is an offer from an LLM company plus an audience of builders.
- CAPTURE the worthy ones:
python content_miner.py capture --src <cc:xxxxxxxx> --title "<hook>" --note "<the gist>" --tier teaser|medium|longread|dev-log --angle "<angle>" --visibility public|personal|private. Tier: teaser=a hook; medium=the public diary post; longread=a narrative; dev-log=dry and technical. [PRIV] / anything that can't be scrubbed → --visibility personal. The engine blocks secret-looking tokens and dedups by src.
- BRIDGE INTO THE CANON (the law "an event → first a beat → then a post", [[show-canon-single-source]]): for the 1-2 strongest public moments create a draft BEAT in
04-Projects\show-canon\beats-inbox\ using the template beats\_TEMPLATE-beat.md (+authored_by: content-miner); never write into beats\ directly — the canon writer moves them. Older (pre-canon, before 2026-07-08) events get a backfill beat only when an episode is actually being assembled from them.
- REPORT to the operator (ELI5): how many sessions were scanned → how many drafts went into the funnel (with tiers) → how many beat candidates landed in the canon inbox; what's next = /episode on a "+", the outbound queue =
registry\pub_registry.py (queue → next → posted, limits in limits.json). Show python content_miner.py captured --limit N.
BOUNDARIES (keep it simple and repairable):
- Draft-first, HARD: drafts only; no auto-publish; nothing goes out.
- Secrets/private material/CRM/leads never become content (engine gate + [[credential-store]]).
- Don't build a parallel monolith — reuse content_miner + voice_triage + /episode.
- Grunt work (detection/classification) = Sonnet; the authored post text = Opus (and that happens in /episode, not here).
- This is the manual twin of the nightly
content-miner-nightly; the archive backlog was closed in one pass on 2026-07-09 (miner\debt-log.md).
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.
1---2name: content-mine3description: Scan recent agent sessions for content-worthy moments and capture them as drafts in a publishing funnel, publishing nothing. Zero-token detector, then a taste judge, then capture. Triggers: "/content-mine", "mine sessions for content", "what in our sessions deserves a post".4license: MIT5---67CONTENT_MINE — sessions → funnel drafts (draft-first, taste delegated to me)89GOAL: mine our Claude Code sessions for content-worthy MOMENTS and drop them as DRAFTS into the content-factory funnel. Publishing happens only on the operator's explicit "+" through /episode. Nothing goes out.1011The operator delegated the taste call — "what deserves to be content" — to me (2026-07-08). I don't ask what to add; I decide.1213PATHS:14- Engine: `$IMPORTS_ROOT/content-factory\content_miner.py` (same family as alpha-extraction / intention_mine; reads the live `vault_sessions` pool).15- Funnel (intake): `content-factory\triage\posts.jsonl` (+ `posts.md`), `source_kind: session`. Writes through `voice_triage.py append` (dedup/upsert).16- Digest: `content-factory\miner\candidates\cand-latest.md`. Ledger: `miner\captured.jsonl`.1718STEPS:191. SCAN (deterministic, 0 tokens). Recent by default: `python content_miner.py mine --days 7`. Backlog / the whole archive: `mine --all --operator Anton --cap 150`. Flags: `--day YYYY-MM-DD`, `--operator all`, `--cap N`. Note `OVER_THRESHOLD` and `OUT`.202. Empty (SESSIONS=0 / OVER_THRESHOLD=0) → say "no fresh moments worth capturing" and stop.213. READ the digest `cand-latest.md` (or `OUT`). Each ### = a session `src | date | machine | operator [PRIV] {score · tags}` + a headline + snippets ([U]=the operator, [A]=Claude). Look at the top ones (HOT→WARM); on large volumes, fan out Sonnet judges over slices (see `miner\slices\`), they return JSON verdicts, you dedup and capture.224. JUDGE BY TASTE: keep the genuinely worthy and DIFFERENT stories (built/shipped it · a war with a bug / a root cause · a human+AI, multi-machine or consensus technique · a sharp insight · a "wow"). Drop routine, thin, forked duplicates (similar headline → one story), purely private material. Positioning: non-coder + AI is the trump card; the goal is an offer from an LLM company plus an audience of builders.235. CAPTURE the worthy ones: `python content_miner.py capture --src <cc:xxxxxxxx> --title "<hook>" --note "<the gist>" --tier teaser|medium|longread|dev-log --angle "<angle>" --visibility public|personal|private`. Tier: teaser=a hook; medium=the public diary post; longread=a narrative; dev-log=dry and technical. [PRIV] / anything that can't be scrubbed → `--visibility personal`. The engine blocks secret-looking tokens and dedups by src.246. BRIDGE INTO THE CANON (the law "an event → first a beat → then a post", [[show-canon-single-source]]): for the 1-2 strongest public moments create a draft BEAT in `04-Projects\show-canon\beats-inbox\` using the template `beats\_TEMPLATE-beat.md` (+`authored_by: content-miner`); never write into `beats\` directly — the canon writer moves them. Older (pre-canon, before 2026-07-08) events get a backfill beat only when an episode is actually being assembled from them.257. REPORT to the operator (ELI5): how many sessions were scanned → how many drafts went into the funnel (with tiers) → how many beat candidates landed in the canon inbox; what's next = /episode on a "+", the outbound queue = `registry\pub_registry.py` (queue → next → posted, limits in limits.json). Show `python content_miner.py captured --limit N`.2627BOUNDARIES (keep it simple and repairable):28- Draft-first, HARD: drafts only; no auto-publish; nothing goes out.29- Secrets/private material/CRM/leads never become content (engine gate + [[credential-store]]).30- Don't build a parallel monolith — reuse content_miner + voice_triage + /episode.31- Grunt work (detection/classification) = Sonnet; the authored post text = Opus (and that happens in /episode, not here).32- This is the manual twin of the nightly `content-miner-nightly`; the archive backlog was closed in one pass on 2026-07-09 (`miner\debt-log.md`).3334---353637<!--kit-footer-->3839---4041**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.4243Flagships 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).4445Author: **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_)4647**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.
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