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Found 2,086 Skills
Enforce IPPF/UNFPA/UNAIDS publication-standard citations on MEL/SRHR output. Use whenever Ane produces a theory of change, evaluation design, indicator set, donor report, or SRHR programme analysis. Injects current authoritative framework versions with author and year, flags outdated versions, and applies the data-gap protocol. Do not use for non-MEL work.
Set up an LLM-judge evaluation that extracts canonical use cases for a PostHog feature at scale and streams the results to a Slack channel as a live feed. Use when someone wants to understand how users are actually using a specific AI/LLM-powered feature in production — what they're investigating, what questions they're trying to answer, and what patterns surface — without manually reading hundreds of traces. Assumes the feature emits `$ai_generation` and `$ai_evaluation` events with `$session_id` linkage to the trigger user's recording (the standard setup post the session-summary linkage PRs).
[Hyper] Optimize an existing codebase through baseline-first experiments, binary evaluation, and one-mutation-at-a-time iteration. Use for codebase autoresearch, measured bottleneck reduction, benchmarked code optimization, and evidence-backed refactors.
Honestly evaluate AI work quality using a two-axis scoring system. Use after completing a task, code review, or work session to get an unbiased assessment. Detects score inflation, forces devil's advocate reasoning, and persists scores across sessions.
Evaluates test quality using Dave Farley's 8 properties. Use when reviewing tests, assessing test suite quality, or analyzing test effectiveness against TDD best practices.
Guides senior corporate transaction leadership—deal thesis, valuation and offer strategy, negotiation priorities, structure (cash/stock/earnout/RWI/locked box), IC and board recommendations, adviser and banker management, go/no-go and walk-away, and oversight of execution through close. Use when leading an M&A, divestiture, financing, or JV as deal principal, preparing investment committee or board materials, setting negotiation mandates, or adjudicating price/structure—not for closing matrices and diligence logistics (transaction-manager), contract drafting (corporate-counsel, commercial-counsel), general strategy consulting (business-consultant), or sales quote-to-cash (deal-operations-administrator). Human executives and counsel approve binding terms.
Interactively set up a first Coval AI evaluation. Guides users through installing the CLI, connecting an agent, creating personas, building test cases, selecting metrics, and launching their first eval run. Use when user says "onboard", "get started", "set up evaluation", "first eval", "new to coval", or wants help creating their first test run.
Guide for adding a new benchmark or training environment to NeMo-Gym. Use when the user asks to add, create, or integrate a benchmark, evaluation, training environment, or resources server into NeMo-Gym. Also use when wrapping an existing 3rd-party benchmark library. Covers the full workflow: data preparation, resources server implementation, agent wiring, YAML config, testing, and reward profiling (baselining). Triggered by: "add benchmark", "new resources server", "integrate benchmark", "wrap benchmark", "add training environment", "add eval".
Bootstrap evaluators from production traces — emit SDK code, a framework-agnostic JSON spec, or publish online LLM-judge evaluators directly to Datadog. Use when user says "bootstrap evaluators", "generate evaluators", "create evals from traces", "eval bootstrap", "write evaluators", "build eval suite", "publish evaluators", or wants to generate BaseEvaluator/LLMJudge code or online judge configs from production LLM trace data. Works with ml_app and optional RCA report or failure hypothesis.
Filesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.
Event planning with timelines, budgets, vendor coordination, logistics checklists, and post-event evaluation. Use when organizing conferences, workshops, galas, or corporate events.
Verify in-text citations, references, author identities, year disambiguation, DOIs, and specified formatting rules; does not assess whether sources support claims. Use when the user asks for "check citation format", "verify in-text citations and references", "check authors with the same surname", "conduct a citation audit", or requests the rw-citation-audit workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.