Auto tinker profile
Local-first, chat-operated developer experiments, learning history, and approval-gated publishing.
npx -y skills add NolanCassidy/auto-tinker --skill auto-tinker-profileAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- 18 days oldThe repository was created 18 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Read or update durable local Auto-Tinker goals, interests, target roles, technologies, constraints, feedback, writing voice, privacy defaults, and automation limits. Use when changing personal preferences or the one active main goal; this skill does not reorder, execute, or publish work.
SKILL.md
3.0 KB, 553 tokens by cl100k_base, as published. Nobody here has run it
Auto-Tinker Profile
Maintain transparent durable preferences and goals; never silently choose a main goal or publication policy.
Invoke the CLI as auto-tinker; from an unlinked source checkout use npm --prefix <auto-tinker-product-repo> run cli -- followed by the same arguments.
Workflow
- Read current state with
auto-tinker profile show --workspace <path> --json,auto-tinker config show --workspace <path> --json, andauto-tinker goal show --workspace <path> --json. - Separate the user's explicit changes from evidence-based suggestions. Ask only questions whose answers materially affect the requested workflow.
- Preview the proposed diff, including ranking effects and automation consequences.
- Apply accepted preference fields with
auto-tinker profile updateand the relevant--name,--tone,--interests,--constraints,--languages,--experiments-per-day,--preferred-agent,--max-concurrency,--discovery-sources,--auto-public, or--bodyoptions.config updateexposes the three safe agent/concurrency/source defaults directly. Treat legacy--goalstext as non-authoritative profile context. - Manage durable goals through
auto-tinker goal set,goal add, andgoal switch. Maintain exactly one active main goal ingoals/main.md; supporting goals may be multiple. - Read the profile and goals again and report the durable result.
- Re-evaluate queued candidates when the main goal or constraints change.
Use profile-contract.md for field semantics and recommendation rules.
Hard rules
- Store credential availability or references, never credential values.
- Treat inferred interests, companies, and skills as suggestions until accepted.
- Store writing voice only from user-approved examples or explicit tone direction. Never scrape a voice sample from private material without consent.
- Treat interests and goals separately. A topic can be interesting without advancing the active main goal.
- Do not silently select example goals such as a target job type or robust stock/trading algorithm; offer them only when supported and let the user choose.
- Record explicit dislikes and boredom signals so ranking can diversify.
- Manual queue order always outranks profile scoring.
- Default repository visibility to private.
- Set
auto_public: trueonly from an explicit user instruction that clearly applies durably. A one-time request to publish one repository is not durable consent. - Keep local-execution limits separate from remote-publication permission.
Return the active main goal, supporting goals, accepted profile changes, declined suggestions, affected queue items, and a copyable next prompt.
What ships with it: 2 files
4.5 KB alongside SKILL.md
agents/
- openai.yaml216 B
references/
- profile-contract.md4.3 KB