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tkersey AI Skills

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Browse published AI skills maintained by tkersey. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

35

Repository stars across indexed skills

1,324

Repository forks

5

Average repository stars per indexed skill

38

Repository stars may repeat across skills from the same repository.

35 skills

Browse skills

GitHub

validate

tkersey

Run validation loops (format/lint/typecheck/build/tests) and report signals. Use when asked to validate, run checks/tests, or repeat verification during work.

GitHub

loop

tkersey

Iterate a markdown list of prompts in order, repeating passes until an explicit stop condition is met. Use when asked to loop over prompts or skills to drive work to completion.

GitHub

fin

tkersey

Finalize GitHub PRs: update the branch/PR, monitor CI until green, squash-merge, and clean up local/remote state. Use for requests like finish/land/close a PR, monitor checks, squash and cleanup.

GitHub

logophile

tkersey

Editing mode for clarity and semantic density; use for prompts, docs, specs, emails, and naming.

GitHub

abstraction-laws

tkersey

Law-driven abstraction protocol: evidence first, seam test, minimal algebra, executable law check.

GitHub

bmad

tkersey

BMad Method v6: workflow-driven agile delivery (track selection, PRD/spec, UX, architecture, epics/stories).

GitHub

ralph

tkersey

Implement the Ralph Wiggum iterative AI loop for Codex/Claude Code: create /ralph-loop and /cancel-ralph commands, wire a stop hook or wrapper loop, persist a fixed prompt, track iterations, and detect a comple...

GitHub

work

tkersey

Finish the in-progress bead; validate via $close-the-loop; open a PR (do not merge). Explicit-only.

GitHub

jujutsu

tkersey

Jujutsu (jj) Git-compatible VCS. Use for any version-control work (status/diff/commit/branch/rebase/merge/etc.).

GitHub

gen-mindset

tkersey

Mine Codex sessions to synthesize your top software design heuristics (no quotes, no evidence).

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.