project-planning
Generate initial project planning documents (PVS, ADR, Tech Spec, Roadmap) from a project concept description. Use when starting a new project, when docs/planning/ contains placeholder files, or when user reque...
Explorez les skills IA publiés de williaby et consultez leurs instructions source.
Skills indexés
8Étoiles des dépôts des skills indexés
4Forks du dépôt
0Moyenne des étoiles par skill indexé
1Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Generate initial project planning documents (PVS, ADR, Tech Spec, Roadmap) from a project concept description. Use when starting a new project, when docs/planning/ contains placeholder files, or when user reque...
Response-Aware Development (RAD) - Systematic verification of code assumptions using multi-model AI analysis. Auto-activates on keywords assumption, verify assumptions, list assumptions, RAD, response-aware, as...
Prepare git commit messages following conventional commits. Activates on: commit, prepare commit, commit this, commit message, ready to commit, stage and commit
Prepare pull request descriptions following project template. Activates on: prepare PR, create PR, pull request, ready for PR, draft PR, write PR
Git workflow management including branch validation, commit conventions, PR preparation, and repository health checks. Auto-activates on keywords git, branch, commit, pull request, PR, merge, rebase, workflow,...
Security validation, vulnerability scanning, and compliance checking for development environments. Auto-activates on keywords security, vulnerability, audit, OWASP, encryption, GPG, SSH, signing, secrets, scan....
Automated test generation, review, and execution for pytest-based projects. Auto-activates on keywords test, coverage, pytest, unittest, integration test, e2e, performance, benchmark, security testing. Routes t...
Code quality validation, formatting, linting, and pre-commit checks. Auto-activates on keywords quality, lint, format, precommit, naming, black, ruff, mypy, validation. Routes to specialized quality workflows.
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.