“Debugging”

Update the curl collection for this project so it can be used for testing and debugging the API changes made on the current branch.

Use this skill when working with LM Studio's LM Link feature — connecting devices, loading remote models, checking link status, debugging connectivity, or…

Use when working with Apache Airflow — creating DAGs, writing tasks, configuring operators, debugging pipelines, or applying scheduling best practices.

OpenClaw CLI commands - debugging, recovery, FIXES, health checks, session management.

Run, rerun, debug, or interpret Astroclaw Parallels install, onboarding, gateway smoke, and upgrade checks.

Fetch CircleCI build results, test failures, artifacts, and job logs to debug CI/CD issues on PRs

GitHub Actions workflow best practices and pitfalls reference.

Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.

Use when designing Jotai state architecture, setting up atom composition patterns, managing large objects, or debugging re-render issues - ensures proper atom…

The first security skill to install after setting up OpenClaw — powered by Tencent Zhuque Lab.

Cache dynamic and static responses on Netlify's CDN from Functions, Edge Functions, and proxies.

Agentica server + Claude proxy setup - architecture, startup sequence, debugging

Use ElevenLabs Realtime models (`eleven_realtime_v1_mini`, `eleven_realtime_v1_max`), the low-latency models built for voice conversation.

Use when doing ANY task involving Supabase.

HTTP API testing and debugging

Loop de diagnóstico para bugs difíceis e regressões de performance.

Display and control HTML content on connected Bitterbot nodes (Mac, iOS, Android) via the canvas host server.

Use when facing a bug with no obvious cause, a performance regression, or 5+ test failures at once.

Diagnosis loop for hard bugs and performance regressions.

Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API.

Expert guidance for Next.js Cache Components and Partial Prerendering (PPR).

Serves an LLM on a supported AMD EPYC server CPU using vLLM with zentorch, in Docker, Podman, or conda.

Diagnosis loop for hard bugs and performance regressions.

Diagnosis loop for hard bugs and performance regressions.