intake
Skill6 starsChanged 2 months agoMITView on GitHub
Route a new rule, preference or policy edit into every home it belongs in (always-loaded canon, memory, the behavioral codex, a skill, a hook) and leave a trace in the always-loaded layer so parallel sessions pick it up on their own. Flow: dedup recall, classify by form, write to all homes, back up, report. Triggers: "/intake", "record this rule", "route this to its homes".
34 other projects use a version of this.
Adopted by
Most recently taken up by
- cdfarkas/cdfarkas-skillstheir own version, first seen Nov 8, 2026
- Mathews-Tom/armorytheir own version, first seen Nov 1, 2026
- ghvinashvili/specagenttheir own version, first seen Nov 1, 2026
- bmtrnavsky/disciplined-vibe-codingtheir own version, first seen Nov 1, 2026
- AdityaZxxx/skillstheir own version, first seen Oct 20, 2026
- GopkoDev/motion-flowtheir own version, first seen Oct 20, 2026
Used with
Projects with it also use plan, triage and 6 more.
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Other versions34 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 34
- openai/plugins★ 7.8ksame name
- Mathews-Tom/armory★ 340same name
- skillberry-ai/cap-evolve★ 69same name
- Consortium-team/project-creator★ 17same name
- bmtrnavsky/disciplined-vibe-coding★ 15same name
- awslabs/service-onboarding-accelerator-on-aws★ 7same name
- ghvinashvili/specagent★ 7same name
- ndisisnd/msg★ 6same name
- stevehansen/eidet★ 4same name
- alphazede/bearing-lite★ 3same name
24 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 33 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Before writing — check whether such a rule already exists (update it, don't spawn a copy.
- Very specific: line 44
Memory: create/update memory\<slug>.md with frontmatter (name, description, metadata.type: user/feedback/project/reference).
- Distinctive: line 63
Always RECALL before writing (Step 0) — update what exists instead of spawning a second copy.
“Common” is measured: kept by at least 6 in 10 of the 33 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/intake — the rule intake (route it to its homes, don't just write it down)
🧒 When reporting to a non-technical owner: end with a child-simple "In plain words" recap (memory
eli5-always). Reports TO him only — never inside vault notes.
Why (canon: memory rules-intake-channel). This chat is the dedicated channel where the owner drops ALL rules/policies/Bible entries/skills/CLAUDE.md edits/preferences, so that working chats stay clean. My job is not just to write it down, but to DELIVER the rule to all of its homes, cross-link it, and leave a trace in the always-loaded layer, so that automatic/parallel processes see it on their next start. This skill = the same manual flow I repeated ~10× in one session, folded into a single command.
Architecture (skill-design-three-layer): a thin SKILL.md orchestrator + deterministic steps (backup/commit/grep) + an external store (CLAUDE.md, memory, the vault). The routing decision is still shown to the owner in the report — the skill does not hide the logic, it executes it without asking at every step.
Step 0 — RECALL (dedup; cheap, ~0 tokens). NEVER spawn a duplicate
Before writing — check whether such a rule already exists (update it, don't spawn a copy; resolve conflicts by "newer beats older"):
MEMORY.mdis already in context — scan its index by topic.grepover memory:$USERPROFILE/.claude/projects/<project>/memory/.grepover the Bible/vault:reglament-*/protocol-*under03-Insights\Operations\and05-Resources\Protocols\; if needed, RAG viabrain_ask.py "<topic>".- Found an existing one → update it (don't create a second), mark
supersedes/ refreshdate_established. A conflict between the owner's own rules (origin: anton) is resolved only by him or by an explicitsupersedes.
Step 1 — Classify the rule by its FORM → pick the homes
Route per operating-agreement → "Where durable rules go" (do NOT duplicate the rule across files — each level REFERENCES the one below):
- How I work / a machine process (imports, dashboards, token economy, routines, my reply style) →
CLAUDE.md(an always-on block) + memory (+ a line inMEMORY.md). - A durable fact / preference → memory (
memory\*.md+ a pointer line inMEMORY.md). - An action ON THE OWNER'S BEHALF towards the outside world (outreach, his chats, calendar, purchases, hiring, household) → the Bible (
reglament-*in the vault) + if needed a lift into always-on inCLAUDE.md. - "Every time automatically when X" → a hook (skill
update-config), not "keep it in mind". - Time-based "every Monday / every morning" → a scheduled task / routine (skill
schedule).
Step 1★ — THE TEST "could a HUMAN do this?" → YES → the rule ALSO GOES INTO THE BIBLE
If the rule could hypothetically be executed by the owner's live assistant (not only by me/code) — it is duplicated into the Bible (the single rulebook for all actors: the owner + assistants + AI). To keep the copies from drifting: the canon of the human-executable part lives in the Bible, and the machine layer (CLAUDE.md/memory) REFERENCES it. Purely mechanical things (an import script, a reindex — no human does that) are NOT duplicated into the Bible.
Step 2 — THE KEY invariant: a trace in the always-loaded layer is MANDATORY
The only things that "surface by themselves" for parallel processes are the ones in the always-loaded layer: CLAUDE.md and the MEMORY.md index load into EVERY session; individual memory files load by relevance; the vault does NOT surface on its own (it needs grep/RAG); a skill surfaces on its trigger. → For a rule to become "background/automatic", it MUST leave a trace in CLAUDE.md or MEMORY.md (at least a pointer line to the canon), not only in the vault/skill.
Step 3 — Write into every chosen home
- Memory: create/update
memory\<slug>.mdwith frontmatter (name,description,metadata.type: user/feedback/project/reference). Body: for feedback/project —**Why:**+**How to apply:**. Use[[name]]links liberally. + one pointer line inMEMORY.md(- [Title](file.md) — hook, ≤200 chars). - CLAUDE.md: if it is always-on — add a block
## ALWAYS: <topic> (standing — set <date>)or append a bullet to an existing one; finish with "Canon: memory<slug>+ Bible<reglament>". ⚠️ Entry budget: the block = ONLY trigger + gist + pointer, target ≤4 lines / ~900 characters; the mechanics (commands, formats, IDs, examples) live in the Bible/memory/skill, they have no place in CLAUDE.md. ⭐ PAY THE ENTRY FEE (Bible entry on optimising always-loaded files): BEFORE writing, runpython ~/.claude/scripts/claude_md_guard.py --preflight <block.md>— exit 0 = go ahead; exit 1 = the file is in the yellow/red zone, first free up at least the block's size (compress a section with the harnessclaude_md_compress.py index→build→verify/ move the body into the Bible), then write. We do not re-compress at the word level (declined) — structure only. The write hook on CLAUDE.md will repeat the warning, but the preflight is your step, don't wait for the hook. - The Bible (if Step 1★ applies): a
reglament-*.mdin03-Insights\Operations\(or the right domain) in theprotocol-bible-as-promptformat (the owner verbatim,WHEN → DO, frontmatter withaudience/origin/authored_by/date_established/status/confidence). Wire it into the MOC (_Operations-Bible-MOCor the domain index) — otherwise the assistant will never find it.
Step 4 — Backup + selective commit (safety)
- Writing into the vault → FIRST
vault_backup.py([[vault-backup-rule]]). - ⚠️ If the shared backup is blocked (the fuse catches someone else's mass deletions from a parallel fleet run) — do NOT force it; commit ONLY your own files:
cd $OBSIDIAN_VAULT && git add "<my file>" && git commit -m "...". Never--force, never a blanket glob delete. CLAUDE.md/memory are auto-committed by git (claude-skills-git-backup, a 15-minute task) — no separate commit needed.
Step 4★ — THE HOMES MATRIX + the watchdog (a gate, not an option; canon: the Bible entry on writing lessons into every home)
Before the report, fill in the matrix: each of the 6 homes (Bible · CLAUDE.md · memory + MEMORY.md · skill · hook/task · MOC) gets an explicit verdict ✅ written / ⛔ not needed + reason — silently skipping a home is not allowed (pitfall 2026-07-14: the Bible was forgotten because the route was kept "in the head"). Then prove it with the counter:
python ~/.claude/scripts/rule_home_guard.py <slug/keywords> — exit 1 = no trace in the always-loaded layer (Step 2 violated) → fix it before reporting.
Step 5 — Report after the fact (NOT for permission — for transparency)
Briefly to the owner: WHAT the rule is · THE HOMES MATRIX from Step 4★ (a verdict per home) · what was cross-linked · conflicts/duplicates (if an existing one was updated). Like with concepts — after the fact, without asking permission for each home.
Boundaries / don't duplicate
- Always RECALL before writing (Step 0) — update what exists instead of spawning a second copy.
- The canon of this procedure = memory
rules-intake-channel(this skill is its executable form). The mirror iscapture-rules-into-bible(which catches rules in ANY chat; intake = the dedicated channel + the always-loaded-layer mechanics). - Secrets (passwords/access/financial figures/"grey" techniques) — NEVER in the loaded layer (
CLAUDE.md/MEMORY.md/the Bible); their home issecrets\(memorycredential-store).
<!--kit-footer-->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.
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