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autohandai

autohandai

798 Skills published on GitHub.

nvidia-tensorrt-llm-exec-slurm-compile

Compile TensorRT-LLM on a SLURM cluster. Covers submitting a batch job

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nvidia-tensorrt-llm-kernel-cute-writing

'Write and implement GPU kernels using NVIDIA CuTe DSL (CUTLASS 4.x Python

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nvidia-tensorrt-llm-kernel-tileir-optimization

'Optimize existing Triton kernels for NVIDIA TileIR backend on Blackwell

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nvidia-tensorrt-llm-kernel-triton-writing

'ONLY for OpenAI Triton (@triton.jit) kernel development. NEVER use for

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nvidia-tensorrt-llm-perf-analysis

'Performance analysis coordination workflow. Guides profiling delegation,

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nvidia-tensorrt-llm-perf-host-analysis

'Analyze host/CPU overhead in TensorRT-LLM inference from nsys traces.

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nvidia-tensorrt-llm-perf-host-optimization

Profiles and optimizes TensorRT-LLM host/CPU overhead using line_profiler

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nvidia-tensorrt-llm-perf-nsight-compute-analysis

'Analyze ncu (NVIDIA Nsight Compute) profiling output: SOL% bottleneck

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nvidia-tensorrt-llm-perf-nsight-systems

Nsight Systems (nsys) CLI for system-level timeline profiling. Use when

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nvidia-tensorrt-llm-perf-optimization

'Performance optimization coordination playbook. Contains specialist

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nvidia-tensorrt-llm-perf-torch-cuda-graphs

'Apply CUDA Graphs to PyTorch workloads — API selection (torch.compile,

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nvidia-tensorrt-llm-perf-torch-sync-free

'Identify and eliminate host-device synchronizations in PyTorch code.

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nvidia-tensorrt-llm-perf-workload-profiling

'Code instrumentation for timing workloads. Two scenarios: (1) Training

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nvidia-tensorrt-llm-trtllm-code-contribution

'Best practices for contributing code to TensorRT-LLM. Covers the official

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nvidia-tensorrt-llm-trtllm-codebase-exploration

'Systematic approach to exploring the TensorRT-LLM codebase before implementing

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nvidia-tensorrt-llm-trtllm-flashinfer-upgrade

Upgrade flashinfer-python version in TensorRT-LLM. Fetches the latest

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nvidia-tensorrt-llm-trtllm-moe-develop

Review, design, and refactor TensorRT-LLM PyTorch MoE code for architecture

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nvidia-tensorrt-llm-trtllm-serve-config-guide

Generate a source-backed starting `trtllm-serve --config` YAML for basic

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nvidia-tilegym-adding-cutile-kernel

Add a new cuTile GPU kernel operator to TileGym. Covers dispatch registration

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nvidia-tilegym-converting-cutile-to-julia

Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents.

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nvidia-tilegym-converting-cutile-to-triton

Converts cuTile GPU kernels (@ct.kernel) to Triton (@triton.jit). Handles

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nvidia-tilegym-cutile-python

Expert cuTile programming assistant. Write high-performance GPU kernels

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nvidia-tilegym-improve-cutile-kernel-perf

Iteratively optimize cuTile kernel performance through systematic profiling,

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nvidia-tilegym-monkey-patch-kernels-to-transformers

Integrate TileGym kernels into Hugging Face `transformers` models by

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onboarding-cro

When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions "onboarding flow," "activation rate," "user activation," "first-run experience," "empty states," "onboarding checklist," "aha moment," "new user experience," "users aren't activating," "nobody completes setup," "low activation rate," "users sign up but don't use the product," "time to value," or "first session experience." Use this whenever users are signing up but not sticking around. For signup/registration optimization, see signup-flow-cro. For ongoing email sequences, see email-sequence.

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openai-docs-skill

Query the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat Completions, Realtime, etc.), OpenAI SDKs, ChatGPT Apps SDK, Codex, MCP integrations, endpoint schemas, parameters, limits, or migrations and you need up-to-date official guidance.

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opencontext

Persistent memory and context management for AI agents using OpenContext. Keep context across sessions/repos/dates, store conclusions, and provide document search workflows.

opencontextcontext-managementmemoryknowledge-basemulti-agent
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page-cro

When the user wants to optimize, improve, or increase conversions on any marketing page — including homepage, landing pages, pricing pages, feature pages, or blog posts. Also use when the user says "CRO," "conversion rate optimization," "this page isn't converting," "improve conversions," "why isn't this page working," "my landing page sucks," "nobody's converting," "low conversion rate," "bounce rate is too high," "people leave without signing up," or "this page needs work." Use this even if the user just shares a URL and asks for feedback — they probably want conversion help. For signup/registration flows, see signup-flow-cro. For post-signup activation, see onboarding-cro. For forms outside of signup, see form-cro. For popups/modals, see popup-cro.

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paid-ads

When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' 'audience targeting,' 'Google Ads,' 'Facebook ads,' 'LinkedIn ads,' 'ad budget,' 'cost per click,' 'ad spend,' or 'should I run ads.' Use this for campaign strategy, audience targeting, bidding, and optimization. For bulk ad creative generation and iteration, see ad-creative. For landing page optimization, see page-cro.

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parallel-task-spark

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parallel-task

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paywall-upgrade-cro

When the user wants to create or optimize in-app paywalls, upgrade screens, upsell modals, or feature gates. Also use when the user mentions "paywall," "upgrade screen," "upgrade modal," "upsell," "feature gate," "convert free to paid," "freemium conversion," "trial expiration screen," "limit reached screen," "plan upgrade prompt," "in-app pricing," "free users won't upgrade," "trial to paid conversion," or "how do I get users to pay." Use this for any in-product moment where you're asking users to upgrade. Distinct from public pricing pages (see page-cro) — this focuses on in-product upgrade moments where the user has already experienced value. For pricing decisions, see pricing-strategy.

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pdf

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 new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.

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performance-optimization

Optimize application performance for speed, efficiency, and scalability. Use when improving page load times, reducing bundle size, optimizing database queries, or fixing performance bottlenecks. Handles React optimization, lazy loading, caching, code splitting, and profiling.

performanceoptimizationReactlazy-loadingcachingprofilingweb-vitals
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performing-container-image-hardening

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performing-access-recertification-with-saviynt

Configure and execute access recertification campaigns in Saviynt Enterprise Identity Cloud to validate user entitlements, revoke excessive access, and maintain compliance with SOX, SOC2, and HIPAA.

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performing-access-review-and-certification

Conduct systematic access reviews and certifications to ensure users have appropriate access rights aligned with their roles. This skill covers review campaign design, reviewer selection, risk-based p

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performing-active-directory-bloodhound-analysis

Use BloodHound and SharpHound to enumerate Active Directory relationships and identify attack paths from compromised users to Domain Admin.

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performing-active-directory-compromise-investigation

Investigate Active Directory compromise by analyzing authentication logs, replication metadata, Group Policy changes, and Kerberos ticket anomalies to identify attacker persistence and lateral movement paths.

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performing-active-directory-forest-trust-attack

Enumerate and audit Active Directory forest trust relationships using impacket for SID filtering analysis, trust key extraction, cross-forest SID history abuse detection, and inter-realm Kerberos ticket assessment.

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performing-active-directory-penetration-test

Conduct a focused Active Directory penetration test to enumerate domain objects, discover attack paths with BloodHound, exploit Kerberos weaknesses, escalate privileges via ADCS/DCSync, and demonstrate domain compromise.

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performing-active-directory-vulnerability-assessment

Assess Active Directory security posture using PingCastle, BloodHound, and Purple Knight to identify misconfigurations, privilege escalation paths, and attack vectors.

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performing-adversary-in-the-middle-phishing-detection

Detect and respond to Adversary-in-the-Middle (AiTM) phishing attacks that use reverse proxy kits like EvilProxy, Evilginx, and Tycoon 2FA to bypass MFA and steal session tokens.

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performing-agentless-vulnerability-scanning

Configure and execute agentless vulnerability scanning using network protocols, cloud snapshot analysis, and API-based discovery to assess systems without installing endpoint agents.

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performing-alert-triage-with-elastic-siem

Perform systematic alert triage in Elastic Security SIEM to rapidly classify, prioritize, and investigate security alerts for SOC operations.

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performing-android-app-static-analysis-with-mobsf

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performing-api-fuzzing-with-restler

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performing-api-inventory-and-discovery

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performing-api-rate-limiting-bypass

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performing-api-security-testing-with-postman

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