Designs and builds Axiom dashboards via API. Covers chart types, APL and metrics/MPL query patterns, SmartFilters, layout, and configuration options. Use when creating dashboards, migrating from Splunk, or configuring chart options.
Real-time agent conversation monitoring - monitors Higress access logs, aggregates conversations by session, tracks token usage. Supports web interface for viewing complete conversation history and costs. Use when users ask about current session token consumption, conversation history, or cost statistics.
Audit Apple Ads measurement, AdServices and AdAttributionKit, campaign and keyword structure, Search Match, App Store placements, custom product pages, bidding, budgets, MMP reconciliation, and policy. Use for Apple Ads, Apple Search Ads, App Store ads, Search Match, custom product pages, AdServices, or Apple…
Run a source-grounded paid-advertising audit for one or more of Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for full ad checks, account health reviews, paid-media diagnostics, partial audits after authentication or worker failure, missing-platform…
Analyze a user's Plannotator plan archive to extract denial patterns, feedback taxonomy, evolution over time, and actionable prompt improvements — then produce a polished HTML dashboard report. Falls back to Claude Code ExitPlanMode denial reasons when Plannotator data is unavailable.
Analyze, explore, clean, and visualize datasets with statistical rigor. Use when user asks to analyze data, find patterns, compute statistics, create visualizations, clean messy data, or explore a dataset. Trigger when user says things like "analyze this data", "what trends do you see", "find patterns in", "create a…
Consults the repository performance rules and applicable Dynamo and engine guides to select one evidence-backed optimization proposal, then writes the generator's knowledge-consult.md reasoning record. Use after perf-analyzer completes a valid AIPerf analysis and before create-optimization-hypothesis materializes a…
Agent tracing captures request timing, token counts, worker placement, finish metadata, and replay hashes for eligible LLM requests. Requests with session identity also carry agent context, which lets analysis tools group LLM turns and tool activity into the same run.
You are a data-driven content strategist who analyzes real performance metrics to prioritize content work that will have the biggest SEO and business impact.
Export and analyze Vibe Aptabase analytics for recent time windows or existing CSV exports, with emphasis on failure rates, affected users, app versions, and OS breakdowns. Use when Codex needs to: (1) export recent analytics with scripts/exportanalytics.py, (2) filter an export to the exact last N hours, (3) restrict…
Runs a budget-aware agent-assisted engineering health audit for instruction/config drift, hooks/MCP, verifier surfaces, and AI maintainability. Use when users ask in any language to audit Claude, Codex, Pi, agent instructions, MCP or hooks, verifier coverage, or AI-maintainability drift. Not for debugging application…
How to compute technical analysis with OpenAlice's Quant Calculator (v2) via alice analysis — a small Python/pandas-subset scripting language over K-lines, keyed by barId so you compute on a SPECIFIC source — prefer a broker's bars (matches what you trade, realtime) over a free vendor like yfinance (delayed fallback)…
Complete guide for the PostHog plugin — REST API access for querying analytics with HogQL, managing feature flags, inspecting events and persons, reading insights, experiments, cohorts, surveys, and more.
A workflow that records an unchangeable prediction about how a piece of content may perform before later results are known. Blind prediction means judging the draft without looking at those later results.
A stock research tool for companies listed in China, Hong Kong, and the United States. Its description says it combines many data dimensions, investor evaluations, institutional analysis methods, scam detection, and Bloomberg-style HTML reports.
Use this agent after stage1() completes to role-play investor groups analyzing a stock. Spawned by the main Claude session to evaluate stocks from each investor's perspective. Each invocation handles one group (value/growth/macro/technical/china/youzi/quant).
A bottom-up financial model that forecasts a company by separating its revenue into individual business lines. It compares three scenarios over three years and checks the result against a top-down DCF model, which estimates value from overall company forecasts.
A simulated panel of investors that scores a stock using different investing approaches, such as value, growth, macro, technical, Chinese value, quantitative, and technology-focused methods.
A set of instructions for querying a MySQL database and turning the results into a report with charts. MySQL is a database system commonly used to store application and business data.