Builds a development-only GreptimeDB Docker image from a local debug binary for local-cluster testing, and optionally pushes it to a development registry. Use when the user asks to package, build, tag, publish, or cross-build a non-release GreptimeDB or GreptimeDB Enterprise image for debugging.
Investigate a failed GreptimeDB fuzz CI target link by downloading GitHub Actions job logs plus fuzz artifacts such as kind logs, monitor dumps, and CSV dumps, then correlate the failure with local GreptimeDB source code. Use when the user provides a failed fuzz CI target/job URL or asks to diagnose GreptimeDB fuzz CI…
Generate a GreptimeDB release changelog with git cliff (correct range, subtract already-released patch PRs, rebuild contributors, add human-curated highlights), output to a file, and prepare the docs-repo blog PR. Use when asked to write/generate a GreptimeDB release note or changelog.
Build the project's vector-indexed knowledge base from files plus database metadata — optionally scoped to specific files / tables / datasources / domains. Scan the in-scope material, classify it into business domains, explore each domain's tables and docs in parallel with explore subagents (the validated-query SQL…
Run a live-instance verification of traceway-cli that goes beyond the Go smoke suite — exercises real-data detail endpoints, TTY-default rendering, adaptive metric-name discovery, and emits a human-readable coverage report. Invoke ONLY when the user explicitly asks (e.g. "run integration tests", "verify the CLI…
Analyze and instrument repositories for Traceway observability. Use when the user wants to plan, add, migrate, or verify Traceway or OpenTelemetry monitoring for backend, browser, full-stack, mobile or iOS, or AI-agent software, including project topology and user-approved setup-plan creation. Backends use OTLP/HTTP…
Operate a Traceway observability instance through the traceway CLI: log in, query exceptions, logs, endpoints, and metrics, and debug production issues down to root cause. Use when the user invokes /traceway with a subcommand, e.g. "/traceway login", "/traceway debug issue ", "/traceway what's broken in prod", or…
Quality control metrics and filtering thresholds for protein design. Use this skill when: (1) Evaluating design quality for binding, expression, or structure, (2) Setting filtering thresholds for pLDDT, ipTM, PAE, (3) Checking sequence liabilities (cysteines, deamidation, polybasic clusters), (4) Creating multi-stage…
A practical development guide for building JavaScript and React interfaces with Tailwind CSS and shadcn/ui, a collection of reusable interface components.
A tool for generating Markdown data-model documents from Doris, an analytical database. It can pull table metadata and at least 100 sample rows, then fill in field descriptions from database comments or an agent.
Cut and publish a new release of the Zabbix Helm chart in this repository, following the versioning rules and maintainer release process documented in CONTRIBUTING.md and CLAUDE.md (bump Chart.yaml/artifacthub-pkg.yml/values.yaml, regenerate docs, tag the release so CI publishes it). Trigger on requests like "release…
Query governed metrics, targets, and entities from a Steep workspace and create reports via the Steep MCP server. Use when the user asks about company metrics, KPIs, targets, or wants a report built from Steep data.
Use when designing a metric framework, selecting a North Star metric, building a metric decomposition tree, designing A/B experiments, setting up retention cohort analysis, or diagnosing whether a metric is being gamed. Encodes NSM rubrics, Goodhart's Law countermeasures, statistical validity for PMs, and retention…
Perform a Prompt Distance (PD) review of a product, repo, or startup using the Prompt Distance whitepaper methodology. Use when the user asks to "PD review", "measure the PD of", or estimate the prompt distance of anything. Produces a dated score, a rubric breakdown, and a sardonic verdict.
Unified revenue intelligence dashboard — aggregates all income streams (affiliate commissions, ad revenue, subscriptions, digital products), calculates key metrics (MRR, ARPU, LTV, ROAS), and delivers daily/weekly automated reports via WeChat notification. Target: Know your exact revenue status every morning.
Use this skill to evaluate the quality of a RAG pipeline on faithfulness, answer relevancy, context precision, context recall, and hallucination rate. Activates after a RAG system is implemented or when retrieval quality is in question. Produces a structured evaluation report with measurable results.