Performance
Performance profiling and optimization
wiki
by atrislabs
"Local-first project wiki skill. Ingest raw sources into atris/wiki, query the wiki, lint it, and keep the memory sharp. Triggers on: wiki this, ingest this, query the wiki, lint the wiki."
langgraph-tutor
by timothywarner-org
Expert skill for teaching LangGraph - the orchestration framework for stateful AI agents. Covers StateGraph, nodes, edges, conditional routing, checkpointing, human-in-the-loop, and multi-agent patterns. Invoke when users ask about LangGraph, building agent graphs, state machines for LLMs, or workflow orchestration. Keywords: langgraph, state graph, agent workflow, orchestration, multi-agent, checkpointing, human-in-the-loop.
lift
by tkersey
"Comprehensive, measurement-driven performance optimization for latency, throughput, memory/GC, and tail behavior. Use when the user asks to optimize/speed up, reduce latency (p95/p99), increase throughput/QPS, lower CPU/memory/allocations/GC pauses, profile hot paths, or run a benchmarked perf pass (including JSONL/query-heavy code). Requires before/after measurement on a runnable workload (or an explicit UNMEASURED plan) plus a correctness gate. Zig-first CLI iteration where bench_stats/perf_report are proven first and wrappers are kept in parity."
web-browser
by tkersey
"Use when tasks need real-browser web automation in Chrome/Chromium via CDP: open or navigate URLs, click/type/select in forms, run page JS, wait for selectors, scrape structured content, capture screenshots, validate UI flows, or run measured web-browser latency checks (bench:eval, bench:all) for perf regressions."
fp-option-ref
by whatiskadudoing
Quick reference for Option type. Use when user needs to handle nullable values, optional data, or wants to avoid null checks.
HumpDay code-review skill
by microprediction
Repository: <https://github.com/microprediction/humpday>
memory-system-v2
by kellyclaudeai
Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events. Use when you need persistent memory across sessions or want to recall prior work/decisions.
ad-spend-optimizer
by guia-matthieu
Optimize paid advertising budget allocation across channels using performance data, attribution models, and ROI analysis
xiaohongshu-publish
by zangqilong198812
使用 OpenClaw 浏览器发布小红书笔记（图文/视频）。当用户需要发布小红书笔记时使用此 skill，包括：发布图文笔记、发布视频笔记、批量发布多篇笔记。
recall
by joelhooks
"Fan-out search across all memory sources when context is unclear or vaguely referenced. Triggers on: 'from earlier', 'remember when', 'what we discussed', 'that thing with', 'the conversation about', 'did we ever', 'what happened with', 'you mentioned', 'we talked about', 'earlier today', 'last session', 'the other day', or any vague reference to past context that needs resolution before the agent can act."
consolidate-memory
by flonat
"Consolidate MEMORY.md files: prune duplicates, merge overlapping entries, generate abstractions, and remove stale knowledge. Triggers: 'clean up MEMORY.md', 'prune stale knowledge'. Inspired by npcsh sleep/dream cycles."
swift-concurrency
by Joannis
'Expert guidance on Swift Concurrency best practices, patterns, and implementation. Use when developers mention: (1) Swift Concurrency, async/await, actors, or tasks, (2) modern concurrency patterns or structured concurrency, (3) migrating to Swift 6 or strict concurrency checking, (4) data races or thread safety issues, (5) refactoring closures to async/await, (6) @MainActor, Sendable, or actor isolation, (7) concurrent code architecture or performance, (8) concurrency-related linter warnings, (9) AsyncSequence, AsyncStream, or task groups, (10) nonisolated, @preconcurrency, or @unchecked Sendable.'
audio-trimmer
by dkyazzentwatwa
Cut, trim, and edit audio segments with fade effects, speed control, concatenation, and basic audio manipulations.
code-profiler
by dkyazzentwatwa
Use when asked to profile Python code performance, identify bottlenecks, measure execution time, or analyze function call statistics.
nemp-memory
by SukinShetty
Persistent local memory for AI agents. Save, recall, and search project decisions as local JSON. Zero cloud, zero infrastructure.
syke
by saxenauts
"Local-first cross-harness memory for agents. Syke observes activity across supported harnesses, keeps a current memex in context, and gives agents syke ask, syke memex, and syke record for continuity across sessions."
syke
by saxenauts
"Local-first cross-harness memory for agents. Syke observes activity across supported harnesses, keeps a current memex in context, and gives agents syke ask, syke memex, and syke record for continuity across sessions."
AgentMemory Skill
by LeoYeAI
Custom: AgentMemory(db_path="/path/to/memory.db")
react-native
by joabgonzalez
"Cross-platform mobile development with React Native. Trigger: When developing mobile apps, implementing platform features, or optimizing performance."
entry-signals
by 0xhubed
Entry signal patterns with historical success rates. Use when deciding whether to open a position.
reflect
by leodearden
"End-of-session reflection that captures decisions, discoveries, surprises, and insights to fused-memory. Use this skill when the user wants to wrap up a session, reflect on what happened, save learnings, or says things like 'let's wrap up', 'end of session', 'save what we learned', 'reflect on this session', or '/reflect'. Also trigger when a session has been substantive and the user signals they're done."
performance-optimizer
by JochenYang
Performance bottleneck identification and optimization. Handles database query optimization, caching strategies, algorithm improvements, and Core Web Vitals tuning (LCP/FID/CLS).
webf-native-ui
by openwebf
Setup and use WebF's Cupertino UI library to build native iOS-style UIs with pre-built components instead of crafting everything with HTML/CSS. Use when building iOS apps, adding native UI components, or improving UI performance.
oracle
by Soul-Brews-Studio
Manage Oracle skills and profiles. Use when user says "oracle", "profile", "install skill", "remove skill", "switch profile".