conversion-system
Skill0 starsChanged 4 months agoMITView on GitHub
Turn recurring manual work into trusted automation via 5 steps: capture → qualify → spec → build → trust ladder. Use when the user says /conversion-system, 'should we automate this', 'capture this task', 'add to automation registry', or when any task is noticed being done manually for the 2nd+ time. Also the gate every NEW automation must pass before being built.
In this repository7 other files it gives its agents.
- fableSkill
- goalSkill
- graph-loopSkill
- handoffSkill
- karpathy-guidelinesSkill
- managerSkill
- outer-loopSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
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
- Very specific: line 15
No judgment at capture time.
- Distinctive: line 20
Ask all three. 3 yeses = automate.
- Distinctive: line 62
Every automation starts at rung 1.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Conversion System
Turn repeated manual work into automation you can actually trust — and refuse
to automate what shouldn't be. The registry is the single source of truth:
~/.claude/automations/registry.md.
Step 1 — CAPTURE
Any task done manually twice gets a one-line entry in the registry backlog.
No judgment at capture time. Format:
- [ ] <task, one line> — seen <n>x, ~<minutes> each
Step 2 — QUALIFY (3-question filter)
Ask all three. 3 yeses = automate. Any no = leave manual, note why.
- Repeats same shape? Same steps each time, not bespoke judgment each run.
- Inputs digital? Everything needed is reachable by tooling (API, file, MCP). ⚠️ claude.ai-connector MCPs (Linear, Granola, Slack…) are session-auth only — they do NOT work headless. If inputs need them, the automation is in-session, never a LaunchAgent.
- "Done" definable in one sentence? Objective end-state a checker can verify.
Then apply the build bar (from manager skill): name the hours/week saved
(with a number) OR the outward output shipped. Neither → don't build, even with 3 yeses.
Step 3 — SPEC (template, mandatory before build)
TASK: <one sentence>
TRIGGER: <manual /command | /loop in-session | LaunchAgent clock-based>
INPUT: <exact sources; flag session-auth'd ones>
RULES: <constraints, incl. voice/verify rules from memory>
STEPS: <numbered, each verifiable>
OUTPUT: <artifact produced — a DRAFT/file/report, never a sent thing>
CHECK: <how the run proves itself correct; what auto-verify exists>
ESCALATE: <when it must stop and ask>Hard rule, non-negotiable, lives in every spec: Never send / spend / delete / promise ALONE. Any outward message, payment, destructive op, or commitment requires the human. Automation prepares; the human ships. (This encodes two standing rules: show-draft-before-send, and verify-before-asserting: data claims in outputs must be verified live by the run itself, never carried from notes.)
Step 4 — BUILD
- Trigger type per scheduler doctrine (
managerskill): clock-based → LaunchAgent with token auth + log + dedup + 1 retry; in-session → /loop ONLY if it passes the 4-condition gate in~/CLAUDE.md; else a plain /skill run on demand. - Day-1 requirements: appears in
aios-cron-view, probed bystack-health(if scheduled); registry row moves from backlog → active with spec link.
Step 5 — TRUST LADDER
Every automation starts at rung 1. Track current rung in the registry.
| Rung | Runs | Human involvement |
| 1 | run 1 | watch everything live, step by step |
| 2 | runs 2–4 | review full output before it's used |
| 3 | 5+ | spot-check weekly |
Demotion: any wrong output → drop one rung immediately and log the failure in the registry. Two failures at rung 1 → back to manual, entry closed with reason. An automation is never "done proving itself" — rung 3 is the ceiling, spot-checks never stop.
Registry format (~/.claude/automations/registry.md)
## Active
| name | spec | trigger | rung | last check | failures |
## Backlog (captured, unqualified)
- [ ] ...
## Rejected (failed qualify — with which question failed)
- ...Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

