Die README konnte nicht geladen werden. Die Skills des Repositorys lassen sich unten weiterhin ansehen.
This collection brings together feature exploration, specifications, implementation and review, with separate Skills for experiments, visual checks, Skill authoring and evaluation. The README offers a feature workflow as well as individual Skills that can be used on their own.
For a feature that still needs definition, start with explore-unknowns. Choose auto-research when the next decision needs experimental evidence.
The README’s installation entry is npx skills add dzhng/skills; add --list to choose individual Skills.
Sources
David clarifies that his process refers to the software-factory workflow in dzhng/skills. The repository combines exploration, specification, implementation and review Skills, with a focus on independently verifiable parts. This post links the collection as a whole.
Es werden 7 von 7 gesammelten Skills angezeigt.
Use the local Codex CLI as an independent second agent. Two branches — (1) proactively run `codex review` for a second opinion after completing a substantive change, before presenting it as done or committing; (2) delegate a well-defined implementation task…
Quellsprache: Englisch
Create or revise agent skills. Use when adding a new skill file, renaming a skill, simplifying an existing skill, improving trigger descriptions, or deciding what belongs in a skill versus references, scripts, assets, or ordinary docs.
Quellsprache: Englisch
Implement a spec using the harness's goal feature.
Quellsprache: Englisch
Conduct a retrospective on a coding session.
Quellsprache: Englisch
Architecture rules for GPU rendering with TypeGPU/WebGPU — games, data visualisation, canvases, any app that draws with the GPU. Use when adding or changing passes, shaders, buffers, textures, pipelines, frame orchestration, GPU resource lifetimes, or checks…
Quellsprache: Englisch
Implement an existing spec through committed passes. Use for long or multi-pass specs that need maintenance checkpoints to periodically clean code, handoffs, priorities, and plan bloat before drift accumulates.
Quellsprache: Englisch
Break large features into independently verifiable, human-reviewable slices under a feature directory in specs/. Use for risky or multi-step feature work that needs upfront questioning, API seams, browser-playable checkpoints, HTML visualizations, screenshot…
Quellsprache: Englisch
Diesen Prompt kopieren und in den verwendeten KI-Assistenten einfügen.
Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/dzhng/skills.