39 KiB
External AI agent skills — extra
Proven, publicly available AI agent skills mapped to this occupation. Nothing is copied from the sources: every entry is a name, a one-line summary and a link to the upstream skill package. Each section names its source repository, commit, license and retrieval date.
Tiers: core = the skill directly exercises a top market hard
skill, tool or method (from gated job-ad evidence) or an essential
ESCO competence of this occupation; adjacent =
plausibly useful, secondary. Entries are capped at 12 per source
and 80 in total per occupation (core first,
strongest matches survive); everything beyond the caps is excluded
and logged in the pipeline audit trail, not in this package.
Matched deterministically (ISCO group + title/competence keywords,
tiered against market evidence + ESCO essentials) by
pipeline/p5_enrich_ai_skills.py on 2026-07-14.
Source: anthropics/skills
- Repository: https://github.com/anthropics/skills (commit
f6656c1, retrieved 2026-07-14) - License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
docx |
adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | source |
pdf |
adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | source |
Source: a5c-ai/babysitter
- Repository: https://github.com/a5c-ai/babysitter (commit
44a5d58b, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
console-performance |
core | Console optimization skill for memory constraints and TCRs. | source |
inference-performance-testing |
core | Benchmark and optimize ML model inference — latency, throughput, memory usage, and hardware-specific performance profiling. | source |
performance-profiler |
core | Profile application performance including CPU, memory, and flame graph generation | source |
unity-profiler |
core | Unity Profiler skill for performance analysis, frame debugging, memory profiling, and optimization workflows. | source |
Source: aden-hive/hive
- Repository: https://github.com/aden-hive/hive (commit
3c390c9, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
hive.note-taking |
adjacent | Maintain a free-form scratchpad of decisions, extracted values, and open questions so context pruning doesn't lose anything you still need. | source |
Source: alirezarezvani/claude-skills
- Repository: https://github.com/alirezarezvani/claude-skills (commit
0241f43, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
performance-profiler |
core | Systematic performance profiling for Node.js, Python, and Go applications. Identifies CPU, memory, and I/O bottlenecks, generates flamegraphs, analyzes bundle sizes, optimizes database queries, runs load tests with k6 and Artillery. Always … | source |
google-workspace-cli |
adjacent | Google Workspace administration via the gws CLI (github.com/googleworkspace/cli). Install, authenticate, and automate Gmail, Drive, Sheets, Calendar, Docs, Chat, and Tasks. Run security audits and use local recipe templates and persona … | source |
Source: avelikiy/great_cto
- Repository: https://github.com/avelikiy/great_cto (commit
4fe1e39, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
well-architected |
core | 6-pillar architecture review framework. Adapted from AWS Well-Architected for use by great_cto's architect agent on every non-nano ARCH document. Forces explicit answers across operational excellence, security, reliability, performance, … | source |
Source: brycewang-stanford/Auto-Empirical-Research-Skills
- Repository: https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills (commit
85bf545, retrieved 2026-07-14) - License: CC-BY-4.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
system-profile |
core | Profile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation. Produces structured performance reports with actionable recommendations. Use when user says "profile", "benchmark", "bottleneck", … | source |
compiledeck |
adjacent | Create and compile beautiful Beamer presentations following the Rhetoric of Decks philosophy. Use when making slides, creating decks, or compiling .tex presentation files. | source |
Source: davila7/claude-code-templates
- Repository: https://github.com/davila7/claude-code-templates (commit
fa79251, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
railway-metrics |
core | Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow". | source |
trigger-dev |
adjacent | Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task. | source |
Excel Analysis |
adjacent | Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files. | source |
firebase |
adjacent | Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong. Firestore queries are … | source |
Source: dotnet/skills
- Repository: https://github.com/dotnet/skills (commit
79a2ada, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
analyzing-dotnet-performance |
core | Scans .NET code for ~50 performance anti-patterns across async, memory, strings, collections, LINQ, regex, serialization, and I/O with tiered severity classification. Use when analyzing .NET code for optimization opportunities, reviewing … | source |
Source: foryourhealth111-pixel/Vibe-Skills
- Repository: https://github.com/foryourhealth111-pixel/Vibe-Skills (commit
34429a8, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
xan |
core | High-performance CSV processing with xan CLI for large tabular datasets, streaming transformations, and low-memory pipelines. | source |
polars |
adjacent | Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas … | source |
sentry |
adjacent | Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require SENTRY_AUTH_TOKEN. |
source |
Source: harperreed/dotfiles
- Repository: https://github.com/harperreed/dotfiles (commit
6b5ced1, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
swiftui-performance-audit |
core | Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide … | source |
Source: HeshamFS/materials-simulation-skills
- Repository: https://github.com/HeshamFS/materials-simulation-skills (commit
fa1ce8d, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
performance-profiling |
core | Identify computational bottlenecks, analyze parallel scaling, estimate memory requirements, and generate optimization recommendations for materials simulations — parse timing logs to find dominant phases (solver, assembly, I/O), evaluate … | source |
Source: indranilbanerjee/digital-marketing-pro
- Repository: https://github.com/indranilbanerjee/digital-marketing-pro (commit
a3d119c, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
qbr-plan |
core | Prepare a Quarterly Business Review. Use when: building QBR presentations, client performance reviews, or strategy updates. | source |
sync-memory |
core | Batch sync session learnings to memory. Use when: persisting campaign insights and performance history across sessions. | source |
Source: jabrena/plinth
- Repository: https://github.com/jabrena/plinth (commit
065eae8, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
145-java-refactoring-high-performance |
core | Use when you need to refactor Java code for high performance — including memory/allocation reduction, CPU hot-path optimization, and syntax/API/control-flow improvements. This should trigger for requests such as Review Java code for high … | source |
161-java-profiling-detect |
core | Use when you need to set up Java application profiling to detect and measure performance issues — including trusted preinstalled async-profiler v4.x setup, problem-driven profiling (CPU, memory, threading, GC, I/O), interactive profiling … | source |
162-java-profiling-analyze |
adjacent | Use when you need to analyze Java profiling data collected during the detection phase — including interpreting flamegraphs, memory allocation patterns, CPU hotspots, threading issues, systematic problem categorization, evidence … | source |
Source: jeremylongshore/claude-code-plugins-plus-skills
- Repository: https://github.com/jeremylongshore/claude-code-plugins-plus-skills (commit
e112938a, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
apify-performance-tuning |
core | Optimize Apify Actor performance: crawl speed, memory usage, concurrency, and proxy rotation. Use when Actors are slow, consuming too much memory, or being blocked by target sites. Trigger: "apify performance", "optimize apify actor", … | source |
cursor-performance-tuning |
core | Optimize Cursor IDE performance: reduce memory usage, speed up indexing, tune AI features, and manage extensions for large codebases. Triggers on "cursor performance", "cursor slow", "cursor optimization", "cursor memory", "speed up … | source |
detecting-memory-leaks |
core | Detect potential memory leaks and analyze memory usage patterns in code. Use when troubleshooting performance issues related to memory growth or identifying leak sources. Trigger with phrases like "detect memory leaks", "analyze memory … | source |
detecting-performance-bottlenecks |
core | Execute this skill enables AI assistant to detect and resolve performance bottlenecks in applications. it analyzes cpu, memory, i/o, and database performance to identify areas of concern. use this skill when you need to diagnose slow … | source |
implementing-database-caching |
core | Process use when you need to implement multi-tier caching to improve database performance. This skill sets up Redis, in-memory caching, and CDN layers to reduce database load. Trigger with phrases like "implement database caching", "add … | source |
memory-profiler-setup |
core | Configure memory profiler setup operations. Auto-activating skill for Performance Testing. Triggers on: memory profiler setup, memory profiler setup Part of the Performance Testing skill category. Use when working with memory profiler … | source |
obsidian-performance-tuning |
core | Optimize Obsidian plugin performance for smooth operation in large vaults. Use when experiencing lag, memory issues, slow startup, or optimizing plugin code for vaults with thousands of files. Trigger with phrases like "obsidian … | source |
profiling-application-performance |
core | Execute this skill enables AI assistant to profile application performance, analyzing cpu usage, memory consumption, and execution time. it is triggered when the user requests performance analysis, bottleneck identification, or … | source |
replit-performance-tuning |
core | Optimize Replit app performance: cold start, memory, Nix caching, and deployment speed. Use when experiencing slow startup, high memory usage, deployment timeouts, or optimizing Replit container resource usage. Trigger with phrases like … | source |
windsurf-performance-tuning |
core | Optimize Windsurf IDE performance: indexing speed, Cascade responsiveness, and memory usage. Use when Windsurf is slow, indexing takes too long, Cascade times out, or the IDE uses too much memory. Trigger with phrases like "windsurf slow", … | source |
excel-variance-analyzer |
core | Analyze budget vs actual variances in Excel with drill-down and root cause analysis. Use when performing variance analysis or explaining budget differences. Trigger with phrases like ''excel variance'', ''analyze budget variance'', … | source |
maintainx-migration-deep-dive |
core | Execute complete platform migrations to or from MaintainX. Use when migrating from legacy CMMS systems, performing major re-platforming, or transitioning to MaintainX from spreadsheets or other tools. Trigger with phrases like "migrate to … | source |
Source: jungjaehoon-lifegamez/MAMA
- Repository: https://github.com/jungjaehoon-lifegamez/MAMA (commit
e85b5eb, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
mama-context |
adjacent | Always-on background context injection from MAMA memory. Automatically surfaces relevant decisions when you work on code, without explicit invocation. | source |
Source: Leonxlnx/taste-skill
- Repository: https://github.com/Leonxlnx/taste-skill (commit
b177427, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
brandkit |
adjacent | Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, … | source |
Source: levnikolaevich/claude-code-skills
- Repository: https://github.com/levnikolaevich/claude-code-skills (commit
2922616, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
ln-31-performance-optimizer |
core | Optimizes a measured latency, throughput, memory, CPU, or I/O problem through profiling and keep-or-discard experiments. Use for a known bottleneck; not unbiased A/B comparison. | source |
Source: mohitagw15856/pm-claude-skills
- Repository: https://github.com/mohitagw15856/pm-claude-skills (commit
876fa30, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
substack-notes-scraper |
core | Scrapes a Substack Notes page and exports engagement data to a formatted .xlsx file. Use when asked to download, analyse, or export Substack Notes performance data including likes, comments, and restacks. Produces a formatted spreadsheet … | source |
meeting-notes |
adjacent | Structure and format meeting notes following PM best practices. Use when asked to create meeting notes, format discussion notes, capture action items, or document decisions from any meeting type. Produces structured notes with decisions, … | source |
strategy-memo |
adjacent | Write a strategy memo that commits to a bet and says what you won't do. Use when asked to write a strategy memo, articulate a strategy, make the case for a strategic direction, or align the team on where to focus. Produces a strategy memo … | source |
Source: mukul975/Anthropic-Cybersecurity-Skills
- Repository: https://github.com/mukul975/Anthropic-Cybersecurity-Skills (commit
673da1f, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
performing-fuzzing-with-aflplusplus |
core | Perform coverage-guided fuzzing of compiled binaries using AFL++ (American Fuzzy Lop Plus Plus) to discover memory corruption, crashes, and security vulnerabilities. The tester instruments target binaries with afl-cc/afl-clang-fast, … | source |
performing-endpoint-forensics-investigation |
core | Performs digital forensics investigation on compromised endpoints including memory acquisition, disk imaging, artifact analysis, and timeline reconstruction. Use when investigating security incidents, collecting evidence for legal … | source |
performing-plc-firmware-security-analysis |
core | This skill covers analyzing Programmable Logic Controller (PLC) firmware for security vulnerabilities including hardcoded credentials, insecure update mechanisms, backdoor functions, memory corruption flaws, and undocumented debug … | source |
performing-memory-forensics-with-volatility3 |
core | Analyze volatile memory dumps using Volatility 3 to extract running processes, network connections, loaded modules, and evidence of malicious activity. | source |
performing-memory-forensics-with-volatility3-plugins |
core | Analyze memory dumps using Volatility3 plugins to detect injected code, rootkits, credential theft, and malware artifacts in Windows, Linux, and macOS memory images. | source |
performing-thick-client-application-penetration-test |
core | Conduct a thick client application penetration test to identify insecure local storage, hardcoded credentials, DLL hijacking, memory manipulation, and insecure API communication in desktop applications using dnSpy, Procmon, and Burp Suite. | source |
performing-threat-hunting-with-yara-rules |
core | Use YARA pattern-matching rules to hunt for malware, suspicious files, and indicators of compromise across filesystems and memory dumps. Covers rule authoring, yara-python scanning, and integration with threat intel feeds. | source |
collecting-volatile-evidence-from-compromised-host |
adjacent | Collect volatile forensic evidence from a compromised system following order of volatility, preserving memory, network connections, processes, and system state before they are lost. | source |
detecting-t1003-credential-dumping-with-edr |
adjacent | Detect OS credential dumping techniques targeting LSASS memory, SAM database, NTDS.dit, and cached credentials using EDR telemetry, Sysmon process access monitoring, and Windows security event correlation. | source |
Source: nanocoai/nanoclaw
- Repository: https://github.com/nanocoai/nanoclaw (commit
da9a74f, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
migrate-memory |
adjacent | Carry an agent group's memory across a provider switch, in either direction (e.g. Claude ↔ Codex, or any provider to/from another). Run after the operator switches a group's provider with ncl groups config update --provider. The coding … |
source |
Source: nexu-io/open-design
- Repository: https://github.com/nexu-io/open-design (commit
4b66023, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
field-notes-editorial-template |
adjacent | Editorial "Field Notes" report template with soft paper background, serif hero typography, rounded pastel insight cards, and a retention chart panel. Use when users ask for a premium magazine-style business report, board memo one-pager, or … | source |
brandkit |
adjacent | Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, … | source |
creative-director |
adjacent | AI creative director with recursive self-assessment: 20+ methodologies (SIT, TRIZ, Bisociation, SCAMPER, Synectics), 3-axis evaluation calibrated against Cannes/D&AD/HumanKind, 5-phase process from brief to presentation. | source |
Source: oliver-kriska/claude-elixir-phoenix
- Repository: https://github.com/oliver-kriska/claude-elixir-phoenix (commit
d6b21b5, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
phx:perf |
core | Analyze Elixir/Phoenix performance — N+1 queries, assign bloat, ecto optimization, genserver bottlenecks. Use when slowness, timeouts, or high memory reported. | source |
Source: OthmanAdi/langsmith-fetch-skill
- Repository: https://github.com/OthmanAdi/langsmith-fetch-skill (commit
1a995f1, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
langsmith-fetch |
core | Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. … | source |
Source: qdrant/skills
- Repository: https://github.com/qdrant/skills (commit
2a06cb1, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
qdrant-performance-optimization |
core | Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization. Use when planning configuration or capacity changes to improve speed and efficiency. For diagnosing an active … | source |
Source: ruvnet/claude-code-flow
- Repository: https://github.com/ruvnet/claude-code-flow (commit
73914bd, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
AgentDB Performance Optimization |
core | Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors. | source |
V3 Performance Optimization |
core | Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite. | source |
AgentDB Memory Patterns |
adjacent | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | source |
Source: ruvnet/ruflo
- Repository: https://github.com/ruvnet/ruflo (commit
73914bd, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
AgentDB Performance Optimization |
core | Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors. | source |
V3 Performance Optimization |
core | Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite. | source |
AgentDB Memory Patterns |
adjacent | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | source |
Source: samber/cc-skills-golang
- Repository: https://github.com/samber/cc-skills-golang (commit
4881c01, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
golang-benchmark |
core | Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI … | source |
golang-performance |
core | Golang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks … | source |
golang-security |
adjacent | Security best practices and vulnerability prevention for Golang. Covers injection (SQL, command, XSS), cryptography, filesystem safety, network security, cookies, secrets management, memory safety, and logging. Apply when writing, … | source |
Source: secondsky/claude-skills
- Repository: https://github.com/secondsky/claude-skills (commit
c4889f6, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
cloudflare-workers-performance |
core | Cloudflare Workers performance optimization with CPU, memory, caching, bundle size. Use for slow workers, high latency, cold starts, or encountering CPU limits, memory issues, timeout errors. | source |
mobile-app-debugging |
core | Mobile app debugging for iOS, Android, cross-platform frameworks. Use for crashes, memory leaks, performance issues, network problems, or encountering Xcode instruments, Android Profiler, React Native debugger, native bridge errors. | source |
Source: trailofbits/skills
- Repository: https://github.com/trailofbits/skills (commit
cfe5d7b, retrieved 2026-07-14) - License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
c-review |
core | Performs comprehensive C/C++ security review for memory corruption, integer overflows, race conditions, and platform-specific vulnerabilities. Use when auditing native C/C++ applications, reviewing daemons or services for memory safety, or … | source |
rust-review |
core | Performs comprehensive Rust security review for safe/unsafe boundary issues, memory safety in unsafe blocks, concurrency hazards, panic-induced DoS, FFI safety, and async runtime mistakes. Use when auditing Rust crates, services, or … | source |
Source: vibeeval/vibecosystem
- Repository: https://github.com/vibeeval/vibecosystem (commit
cea9462, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
content-strategy |
core | Content marketing strategy - content audit, editorial calendar, SEO optimization, content funnel (TOFU/MOFU/BOFU), performance metrics, developer content, social media planning | source |
performance-testing |
core | Load testing with k6/Artillery, response time thresholds, memory leak detection, N+1 query detection, and CI integration. | source |
Source: wanshuiyin/Auto-claude-code-research-in-sleep
- Repository: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep (commit
eb5c9d7, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
system-profile |
core | Profile a target (script, process, GPU, memory, interconnect) for performance analysis. Use when user says "profile", "benchmark", "bottleneck", or wants performance analysis. | source |
kill-argument |
adjacent | Two-thread adversarial review: a fresh reviewer constructs the strongest 200-word rejection memo, then a second fresh reviewer defends the paper point-by-point and surfaces still-unresolved critical issues. Use when user says "kill … | source |
Source: XiaoMaColtAI/math-modeling-skill
- Repository: https://github.com/XiaoMaColtAI/math-modeling-skill (commit
abcb41f, retrieved 2026-07-14) - License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
DOCX工具 |
adjacent | 创建、编辑、校验和转换 Word DOCX,支持把完整 LaTeX 论文转换为 DOCX,以及数学建模论文模板、原生公式、三线表、修订和批注。 | source |
Source: zxkane/aws-skills
- Repository: https://github.com/zxkane/aws-skills (commit
68530c6, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
aws-cost-operations |
adjacent | AWS cost optimization, monitoring, and operational excellence expert. Use when analyzing AWS bills, estimating costs, setting up CloudWatch alarms, querying logs, auditing CloudTrail activity, or assessing security posture. Essential when … | source |