Monitoring and evaluation jobs on your project folder: twelve job skills (evaluation questions, question-method alignment, evaluation TOR drafts, indicator reference sheets, measurement feasibility, M&E plan drafts, progress evidence, findings to actions, results chain alignment, sampling plans, data quality assessment plans, baseline planning), three workflow packs and nineteen commands that cross-reference logframes, M&E plans, proposals, reports and TORs and write editable Markdown with source traceability.
24 skills · 19 commands
Twelve structured monitoring and evaluation document reviews: logframes, theories of change, indicators, evaluation TORs, M&E plans, proposals, sampling plans, surveys, baseline reports, progress reports, data quality assessments, and evaluation reports. Each returns section-by-section PASS/PARTIAL/FAIL ratings, a summary verdict, and prioritized recommendations.
36 skills
Builds up to a goal in a field you have no expertise in: splits it into the foundations that goal actually needs, mobilizes what you already hold, learns what is missing, and leaves every solved path behind for the next goal. Nothing is called done until a check passes.
16 skills · hooks
Triages failing GitHub Actions runs, hardens Dockerfiles, pre-flights Kubernetes manifests before they reach the cluster, and drafts blameless postmortems from incident evidence
4 skills · 5 commands · 3 agents · hooks
Goes past detecting accessibility and localization issues to fixing them: cross-element ARIA and keyboard-focus remediation, color-contrast rewrites, hardcoded-string extraction, ICU MessageFormat correctness, and RTL readiness
3 skills · 5 commands · 2 agents · hooks
A repo-native toolchain for LLM apps: scaffolds eval suites, red-teams for prompt injection, hardens structured-output reliability, and audits token cost, riding promptfoo/DeepEval/Pydantic rather than replacing them
4 skills · 4 commands · 2 agents · hooks