Results for “metrics”

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics

Create structured memoranda of understanding for partnerships, including context, key components, action plans, and success metrics.

Logs and scores skill usage quality, tracking output effectiveness, user satisfaction signals, and improvement opportunities. Expert in skill analytics, quality metrics, feedback loops, and continuous improvement. Activate on "skill logging", "skill quality", "skill analytics", "skill scoring", "skill performance", "skill metrics", "track skill usage", "skill improvement". NOT for creating skills (use agent-creator), skill documentation (use skill-coach), or runtime debugging (use debugger skills).

Export OpenTelemetry traces, metrics, and logs to Azure Application Insights using Python.

Tracks revenue pipelines, monitors Stripe and analytics metrics, and automates financial reporting for SaaS businesses.

`analysis-agent`/`task-agent`/`review-agent`: primary-Skill-selected for logs, metrics, traces, alerts, SLI/SLO, or diagnostics; never task owner; skip without signal impact.

`analysis-agent`/`task-agent`/`review-agent`: use for search relevance, freshness, analytical grain, metrics, or rebuilds; skip bounded source queries and operational telemetry.

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics

Monday morning full pipeline review with metrics, channel performance, and forecast. Reads all CRM tabs, calculates deltas vs previous week, and generates actionable recommendations.

Design and implement evaluation harnesses for models, agents, and code. Use when creating benchmarks, designing eval metrics, or comparing system outputs.

Write a PRD or feature spec that aligns design and engineering — problem with evidence, explicit non-goals, measurable success metrics, and testable acceptance criteria.

Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.

Defining KPIs, tracking events, and dashboards: North Star Metric, funnel and cohort analysis, test-intelligence views. GA4/Amplitude/Mixpanel/PostHog. Use when metrics design is needed.

Turns a raw idea, brain dump, or conversation into a complete PRD with mandatory acceptance criteria and measurable success metrics. Extracts the problem, target users, and jobs-to-be-done, runs a quick competitive scan (web if available, logged as a gap if not), drafts the full PRD (problem, personas, user stories.

Run evaluation tasks against a NeMo Platform server using the Evaluator plugin CLI and Python SDK.

Provides analytics and operations for the Metal Dollar (XMD) stablecoin, covering minting, redemption, supply metrics, collateral reserves, and oracle prices.

Fit SimBiology model parameters to data — fitproblem, population NLME, virtual patients, and NCA. Use when asked to fit, estimate, calibrate, or compute PK metrics.

Set up and track KPI dashboards with targets, actuals, and trend analysis. TRIGGERS - Use when user wants to define KPIs, track metrics, or create a scorecard.

Set up and track KPI dashboards with targets, actuals, and trend analysis. TRIGGERS - Use when user wants to define KPIs, track metrics, or create a scorecard.

Use this when the system needs logging, metrics, tracing, alerting, or operator-visible runtime signals for APIs, workers, integrations, serverless functions, or local-to-production supportability.

Builds Quarterly Business Review decks for active clients. Pulls metrics, generates structured QBR with wins, challenges, roadmap, and recommendations. Uses crm-writer to read client data.

Design pricing, packaging, and monetization strategies that capture value and align with customer willingness to pay.

Design, launch, and grow online communities that drive business outcomes through member value and shared identity.

Guides Qdrant monitoring setup including Prometheus scraping, health probes, Hybrid Cloud metrics, alerting, and log centralization.

Maintains a working memory file for AI agents, tracking active goals, completed tasks, performance metrics, blockers, and key decisions across sessions.

Statistic component for displaying statistical values with labels, prefixes, and suffixes. Invoke when user needs to implement statistics displays, metrics dashboards, or data summaries in Naive UI.

Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.

Use this skill to write and run SQL queries, pull data, build metrics, or answer analytical questions. Always use this skill when you need to query data.

Use this skill to write and run SQL queries, pull data, build metrics, or answer analytical questions. Always use this skill when you need to query data.

Defines a testable hypothesis with clear success metrics and validation approach. Use when forming assumptions to test, designing experiments, or aligning team on what success looks like.

Analyzes email sequence performance metrics. Evaluates open rates, click rates, reply rates, and conversion by step. Identifies drop-off points, benchmarks against industry averages, and recommends optimizations.

Provides technical leadership frameworks for architecture decisions, engineering team scaling, technology strategy, and technical debt assessment.

Design, optimize, and communicate SaaS pricing — tier structure, value metrics, pricing pages, and price increase strategy.

Queries video analytics incidents, alerts, metrics, and sensor data from Elasticsearch via the VA-MCP server.

Compare coding agents head-to-head on reproducible tasks with pass rate, cost, time, and consistency metrics.

Fetches any X/Twitter post as structured JSON, including full article content, author info, and engagement metrics, without scraping or a browser.