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Skills IA DevOps

Découvrez les skills DevOps, comparez leurs dépôts et consultez leurs instructions.

Catégories: DevOps

15,817–15,840 sur 83,066

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GitHub

gen-plan

tkersey

Generate iterative `plan-N.md` files in the repo root (max N=5). Use only when asked; clarify before `plan-1.md`; stop at `plan-5.md`.

GitHub

select

tkersey

Preflight bead work: verify beads are in use, confirm explicit start/continue, identify active bead or select next `bd ready`, clarify done criteria, and scope audit before marking `in_progress`.

GitHub

beads

tkersey

bd (beads) issue-tracking workflow; use when `.beads/` exists or when running `bd` commands.

GitHub

trace

tkersey

TRACE (Type/Readability/Atomic/Cognitive/Essential) lens for explaining code and proposing improvements (no edits applied).

GitHub

tk

tkersey

Software surgery: contract → invariants → creative search → inevitable incision; minimal diff, compositional core, proof signal.

GitHub

fix

tkersey

Review+fix protocol with safety guardrails (unsoundness, invariants, footguns, incidental complexity); requires a validation signal.

GitHub

imp

tkersey

Unified shipping + TRACE self-review protocol (beads, proof, PR). Explicit-only.

GitHub

gen-beads

tkersey

Convert a project plan written in a Markdown file into a complete bd beads graph (tasks, subtasks, dependencies) using only bd for creation and edits, then review and optimize each bead. Use when asked to beadi...

GitHub

universalist

tkersey

Algebra-Driven Design (ADD): model domains via minimal algebra + laws; encode in types; test laws.

GitHub

prove-it

tkersey

Gauntlet for absolute claims (always/never/guaranteed/optimal); pressure-test, then refine with explicit boundaries.

GitHub

ship

tkersey

Finalize work after validation: confirm a signal, capture proof in PR description and bead comment (if beads), and open a PR (no merge). Use when asked to ship, finish, or open a PR.

GitHub

cx

tkersey

Spawn Codex CLI sub-agents non-interactively with fixed model/effort and required flags (web search, skills, yolo). Use when dispatching a single agent per bead via codex exec with a positional prompt string an...

GitHub

web-browser

tkersey

Automate Chrome/Chromium via CDP: navigate, click, fill forms, evaluate JS, screenshot, scrape.

GitHub

zig

tkersey

Zig runbook: performance (SIMD + threads), build/test, comptime patterns, allocators, build.zig/build.zig.zon, zero-copy parsing, C interop.

GitHub

join

tkersey

PR autopilot: create/manage PRs, enforce CI gates, apply surgical fixes, and squash-merge via `gh`.

GitHub

method

tkersey

Create a new skill that encodes a team’s bead-implementation method and packages it as a .skill. Use only when the user explicitly says "$method".

GitHub

ghost

tkersey

Create a ghost-library repo from an existing library git repo by extracting a strict SPEC.md, exhaustive tests.yaml, INSTALL.md, README.md, VERIFY.md, and preserving upstream LICENSE files. Use only when a user...

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

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...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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