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31.375 skills encontradas
model-evaluation
Model evaluation in R with performance metrics, calibration, ROC analysis, decision curves, and validation.
env-setup
Environment setup assistant — detects project requirements, generates .env.example, documents prerequisites, creates setup scripts, and verifies the development environment is ready. Use when setting up a project for the first time.
generating-constrained-specs
Use when generating PRD and architecture documents that must trace back to explicit decisions. Enforces citation requirements so no spec content exists without DEC-* references.
merge-conflict-resolution
Detect, classify, and resolve git merge conflicts through structured analysis of conflict markers, per-file strategy selection, and post-resolution verification. Use when a branch has conflicts with its merge target, when rebasing onto an updated base, or when gh-merge detects an unmergeable PR.
code-generation
Use when generating ABAP, CDS, RAP, Fiori Elements, or BTP CAP code for SAP systems. Enforces cloud-ready, clean-core-compliant, testable code generation — not quick-and-dirty prototypes.
time-series-models
Bayesian time series models including AR, MA, ARMA, state-space models, and dynamic linear models in Stan and JAGS.
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preflight-checks
Reference document describing six pre-flight checks (clean git state, not detached HEAD, gh auth, issue exists and OPEN, remote reachable, duplicate-branch warning) as pure bash exit codes with no LLM calls. Reference only (policy document; consumed by `/flow:start` Phase 0).
autoimprove
Manage git worktrees for autoimprove experiments. Creates isolated worktrees for each experiment so the main codebase is never touched. Handles setup, teardown, and merging winning experiments back to main.
mark-rejected
Esta skill serve para marcar uma empresa como rejeitada no rastreador de empregos em Excel do usuário (List.xlsx).
diagnostic-accuracy
Diagnostic accuracy analysis in R, including sensitivity, specificity, ROC curves, likelihood ratios, and decision curves.
synthesizing-pillars
Use when evidence collection is complete for a pillar and need to extract actionable insights. Transforms raw evidence into structured synthesis with patterns and contradictions identified.