superpowers
claudecodexCore skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
14 skills · 3 commands · 1 agent · hooks
TPU/XLA profiling analysis: MCP tools for XProf HTTP API (operator breakdowns, memory profiles, A/B comparisons) + methodology skills for trace parsing, MFU calculation, bottleneck identification
Plugin xprof-profiling-analysis from marketplace primatrix-skills in primatrix/skills. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
xprof-profiling-analysisUse when analyzing TPU/GPU profiling performance — XProf MCP tools for operator breakdowns, memory profiles, A/B comparisons; offline methodology for trace parsing, MFU calculation, HBM memory analysis, XLA flag auditing, communication bottleneck identification
xprofruns: python3 ${CLAUDE_PLUGIN_ROOT}/scripts/server.py
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
14 skills · 3 commands · 1 agent · hooks
Beaver project management: GitHub-native issue lifecycle with explicit /beaver-xxx commands covering the full development cycle (create, design, decompose, dev, PR, beaver-fix, tracker, focus, setup)
2 skills · 9 commands
Systematic analysis of TPU pretraining efficiency. profile-anatomy: schema + reference scripts for xplane.pb / trace.json.gz. comm-analysis: per-axis NCCL bus BW, peak ICI utilization, and per-step compute/comm overlap. compute-breakdown: source-line aggregation, layer scoping, non-compute audit, v7x roofline shortfall. memory-profile: HBM peak occupancy, alive-buffer attribution, lifetime/shape/tf_op/parent_jit rollups.
4 skills
Execute Python scripts on remote GPU/TPU clusters via SkyPilot
3 skills
Read and manage Plane, GitLab, and Outline through configured MCP tools, CLI, and APIs with credential-safe, read-first workflows
3 skills
Mine local Claude/Codex session history to produce structured daily/weekly work recaps with optional GitHub Issue sync
1 skill
Harness-native ECC operator layer - 71 agents, 314 skills, 98 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
200 skills · 98 commands · 71 agents · 1 MCP server · hooks
agentic-flow (external: maintained in ruvnet/agentic-flow, pinned to commit d19737b, plugin 3.4.0): the agentic-flow MCP server pinned to [email protected] (ReasoningBank learning, ecosystem tools prompt_injection_scan, swarm_partition_tasks, sublinear_solve, sublinear_pagerank and ecosystem_status, multi-provider routing, autopilot learning; readonly profile by default, no tool pre-approved), 2 agents, 4 skills, /agentic-flow-status, and a mod guard on agentic_flow_agent with /agentic-flow-guard
4 skills · 1 command · 2 agents · 1 MCP server
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer
8 skills · 1 MCP server
Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.
2 commands
Transform Claude into an Azure expert. This plugin integrates the Azure MCP server and specialized Azure skills to move beyond generic advice. It enables Claude to perform real-world tasks: listing resources, validating deployments, diagnosing infrastructure issues, and optimizing costs across 50+ Azure services.
44 skills · 1 MCP server
Systems programming with Rust, Go, C, and C++ for performance-critical and low-level development
3 skills · 1 command · 4 agents
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