Diagnose iouring performance and correctness problems with uringscope, an eBPF tracer and analyzer. Use when a Linux process that uses iouring shows tail latency, unexplained iou-wrk- thread explosions, suspiciously syscall-heavy behavior, silent buffer corruption, or completions that never arrive, or when strace…
Use when investigating production behavior by querying wide events (a slow route, an error spike, a suspicious deploy, "why is this happening for account X"). Covers the data model, the symptom-to-query workflow, and standing queries worth running.
Install Agent Think Map into this NanoClaw checkout — live skill/tool/MCP visualization over SSE. Additive copies only; never merge channels or providers.
Configures or troubleshoots the Datadog MCP server plugin-datadog-datadog. Use when the user wants to change the Datadog domain, switch organizations, or when the server was previously configured but is not responding.
Modern, powerful structured logging for Python using structlog. Use when adding or improving logging in Python projects, configuring structlog for dev/production, working with contextvars for request-scoped logging, integrating structlog with stdlib logging, or writing tests for logging behavior.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Use when authoring, debugging, or reviewing an OpenTelemetry Collector (otelcol) configuration — defining receivers/processors/exporters/connectors, wiring service pipelines, choosing between the core and contrib distributions, or exporting to OTLP/Prometheus/Loki/Tempo/Mimir. Also use when a Collector starts but no…
Operate terminal coding agents by voice. Reads and every send go through the local yapitalism MCP server, which returns receipts; the superset MCP server is used for workspaces, projects, and creating agents. Designed for ChatGPT Voice and Remote operation of the Mac Studio Superset instance. Trigger whenever the user…
Instructions for using RelayRoom to exchange messages when different parts of a project need to coordinate. The input does not explain RelayRoom itself or the exact messages it supports.
Set up VoiceCheck end to end — install the package with the right extras, run a zero-key smoke test to prove the pipeline works, configure a transport (LiveKit, Daily, VAPI, or Retell) and audio providers, then scaffold, validate, and run a first scenario. Use when someone wants to install, onboard onto, or get…
Render end-to-end previews of what an alert notification will actually look like (plain-text email, HTML email, Slack attachment JSON, raw webhook JSON) by replaying a Prometheus unit-test file's expected alerts through a live Alertmanager. Effectively a "print preview" for alerts. Use to review notification…
Diagnose a failing AI agent run with Pisama. Turns a trace into a root-cause report: what failed, which agent failed at which step, every detection with a calibrated confidence, and an apply-ready fix. With a connected key it returns a ready-to-paste CLAUDE.md/.cursorrules guardrail plus the commands to verify it, and…
Use AgentReceipt CLI as a local evidence sidecar for AI coding sessions. Use when an agent needs compact replay/focus reports, patch-equivalence checks, schema outputs, or deterministic JSON workflows.
Catalog of every automated quality gate ai-viewer enforces — commands, thresholds, and what to do when a gate fails. Use before claiming any work done, before any commit, when adding a new gate, or when investigating a CI failure. The runtime companion to .agents/sow/specs/quality-gates.md.
Use the TestRelic MCP server correctly. Load when the task involves running, configuring, or invoking TestRelic MCP tools (tr), diagnosing invocation failures, choosing capability flags, or registering the MCP server with any coding agent (Claude Code, Codex, Cursor, Copilot/VS Code, Gemini CLI, Windsurf, Zed). Covers…
Behavioral registry for AI agents. Log interactions, build an interaction profile, query it through lenses (friction, coverage, stable corridors, failure registry, trend), and receive anomaly signal notifications if ACR observes elevated signals on a component in your composition.
Introspect the user's local AI agent infrastructure in real time. Use proactively: before starting tasks, before scheduling cron/timer work, when stuck, after long tasks, or when claiming something works. Exposes tools: vitalssummary, shadowlist, shadowstale, burnoutsummary, burnoutstucksessions.
Self-report every agent action to the agent-obs observability MCP server. Use in EVERY session where the agent-obs MCP server is connected - start a session at task start, log every tool call (Read, Write, Edit, Bash, Glob, Grep, etc.), end the session at task completion, and answer "how did my last session go"…
Maintain and extend the dockndevai MCP server suite (mcp-keycloak, mcp-kubernetes, mcp-oci, mcp-kafka, mcp-clickhouse, mcp-debezium, mcp-azure, mcp-azure-devops, mcp-percona-pg). Use when adding or changing a tool, touching the security/policy layer, bumping dependencies, cutting a release, or publishing to npm or an…
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: