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总 Skills
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# Skill 仓库 描述 安装量
8951 xiaohongshu-cover-generator freestylefly/xiaohongshu-skills
Xiaohongshu Cover Generator This skill generates Xiaohongshu-style cover images based on user-provided topics. Usage When a user requests a Xiaohongshu cover image: Confirm the topic with the user if not clear Check for API key (CANGHE_API_KEY environment variable or ask user to provide it) Run the generation script with the topic The image will be saved to the current working directory with filename format: xiaohongshu-cover-{timestamp}.png Running the Script The script is located at scrip...
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8952 beautiful-mermaid intellectronica/agent-skills
Render Mermaid diagrams as SVG and PNG images using the Beautiful Mermaid library. Dependencies This skill requires the `agent-browser` skill for PNG rendering. Load it before proceeding with PNG capture. Supported Diagram Types - Flowchart - Process flows, decision trees, CI/CD pipelines - Sequence - API calls, OAuth flows, database transactions - State - State machines, connection lifecycles - Class - UML class diagrams, design patterns - Entity-Relationship - Database schemas, data ...
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8953 pencil-design chiroro-jr/pencil-design-skill
Pencil Design Skill Design production-quality UIs in Pencil and generate clean, maintainable code from them. This skill enforces best practices for design system reuse, variable usage, layout correctness, visual verification, and design-to-code workflows. When to Use This Skill Designing screens, pages, or components in a .pen file Generating code (React, Next.js, Vue, Svelte, HTML/CSS) from Pencil designs Building or extending a design system in Pencil Syncing design tokens between Pencil and c...
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8954 nemo-mbridge-perf-activation-recompute nvidia/skills
Activation Recompute Stable docs: @docs/training/activation-recomputation.md Card: @skills/nemo-mbridge-perf-activation-recompute/card.yaml What It Is Activation recompute trades GPU compute for memory by discarding intermediate activations during the forward pass and recomputing them during backward. Megatron Bridge supports two granularities: Granularity What you specify What gets recomputed Memory savings Compute cost selective recompute_modules list (e.g. core_attn , mlp ) specific submodule...
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8955 vss-deploy-detection-tracking-3d nvidia/skills
Purpose Deploy and operate the RTVI-CV-3D microservice as MV3DT ( MODE=mv3dt ) — per-camera DeepStream perception plus BEV Fusion over multiple calibrated cameras — on the bundled sample dataset, custom videos, or live RTSP, without the full warehouse agent / LLM / VLM stack. Instructions Work top-to-bottom: answer the routing questions (Q0–Q3) under Routing , then follow the reference for the chosen path. Detailed step-by-step procedures live in references/ (deploy, calibration chain, camera co...
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8956 vss-deploy-profile nvidia/skills
VSS Deploy Available Scripts Script Purpose Arguments scripts/normalize_resolved_yml.py Strip optional depends_on entries for services filtered out of resolved.yml before deploy. Path to resolved.yml scripts/probe_remote_models.sh Probe an OpenAI-compatible remote LLM/VLM endpoint and verify the selected model id. Base URL, optional expected model id Profile Routing Match the user's request to a profile, then load that profile's reference for sizing, services, env recipes, and debugging. Show mo...
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8957 bash-linux sickn33/agentic-awesome-skills
Bash Linux Patterns Essential patterns for Bash on Linux/macOS. 1. Operator Syntax Chaining Commands Operator Meaning Example ; Run sequentially cmd1; cmd2 && Run if previous succeeded npm install && npm run dev || Run if previous failed npm test || echo "Tests failed" | Pipe output ls | grep ".js" Show more Installs 1.8K Repository sickn33/agentic…e-skills GitHub Stars 46.0K First Seen Jan 20, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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8958 nemo-mbridge-perf-moe-vlm-training nvidia/skills
MoE VLM Training Stable docs: @docs/training/moe-optimization.md Card: @skills/nemo-mbridge-perf-moe-vlm-training/card.yaml FSDP vs 3D Parallel Approach Strength Best fit FSDP Simplest path to a working multimodal run first bring-up, memory-first tuning, awkward PP boundaries 3D parallel Higher ceiling after tuning stable models with a clean PP layout and time for deeper sweeps For MoE VLMs, the practical workflow is usually: get the first reliable run with FSDP stabilize real-data input, recomp...
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8959 nemo-mbridge-mlm-bridge-training nvidia/skills
MLM vs Bridge Training For how they differ, the arg mapping tables, gotchas, and translation script, see: @docs/megatron-lm-to-megatron-bridge.md First Answer Checklist For MLM-vs-Bridge correlation questions, always name these items up front: Bridge recipe: vanilla_gpt_pretrain_config . Bridge entry point: scripts/training/run_recipe.py . MLM entry point: 3rdparty/Megatron-LM/pretrain_gpt.py . Launch wrapper for both: uv run python -m torch.distributed.run . Fresh-run cleanup: rm -rf nemo_exper...
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8960 develop-ai-functions-example vercel/ai
AI Functions Examples The examples/ai-functions/ directory contains scripts for validating, testing, and iterating on AI SDK functions across providers. Example Categories Examples are organized by AI SDK function in examples/ai-functions/src/: Directory Purpose generate-text/ Non-streaming text generation with generateText() stream-text/ Streaming text generation with streamText() generate-object/ Structured output generation with generateObject() stream-object/ Streaming structured output ...
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8961 nemo-mbridge-perf-sequence-packing nvidia/skills
Sequence Packing Skill For stable background and recommendation level, see: @docs/training/packed-sequences.md @skills/nemo-mbridge-perf-sequence-packing/card.yaml Enablement Offline packed SFT for LLM finetuning: from megatron . bridge . data . datasets . packed_sequence import PackedSequenceSpecs Show more Installs 538 Repository nvidia/skills GitHub Stars 1.3K First Seen May 29, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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8962 nemo-mbridge-perf-parallelism-strategies nvidia/skills
Parallelism Strategy Selection Skill For stable background on each parallelism type, see: @docs/parallelisms.md @skills/nemo-mbridge-perf-parallelism-strategies/card.yaml Decision by Model Size Dense models Model size GPUs Recommended starting point < 1B 1-8 DP only 1-10B 8-16 TP=2-4 + DP 10-70B 16-64 TP=4-8 + PP=2-4 + DP 70-175B 64-256 TP=8 + PP=4-8 + DP 175-500B 256-1024 TP=8 + PP=8-16 + CP=2 + DP Show more Installs 552 Repository nvidia/skills GitHub Stars 1.3K First Seen May 29, 2026 Securit...
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8963 nemo-mbridge-multi-node-slurm nvidia/skills
Multi-Node Slurm Convert single-node uv run python -m torch.distributed.run commands into multi-node Slurm sbatch scripts with Enroot container support, and debug common multi-node failures. Two Approaches: srun-native vs uv run torch.distributed Approach ntasks-per-node Process spawning Best for srun-native (preferred) 8 Slurm spawns 8 tasks/node Conversion, inference, Bridge scripts uv run torch.distributed (legacy) 1 uv run python -m torch.distributed.run spawns 8 procs/node MLM pretrain_gpt....
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8964 nemo-mbridge-perf-expert-parallel-overlap nvidia/skills
MoE Expert-Parallel Overlap Skill References Stable docs: @docs/training/communication-overlap.md Structured metadata: @skills/nemo-mbridge-perf-expert-parallel-overlap/card.yaml What It Is Expert-parallel (EP) overlap hides the cost of token dispatch/combine all-to-all communication by running it concurrently with expert FFN compute. Optionally, delayed expert weight-gradient computation ( delay_wgrad_compute ) provides additional overlap by deferring wgrad to overlap with the next layer's forw...
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8965 pdf k-dense-ai/scientific-agent-skills
PDF Processing Guide Overview This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see REFERENCE.md. If you need to fill out a PDF form, read FORMS.md and follow its instructions. Quick Start from pypdf import PdfReader , PdfWriter Read a PDF reader = PdfReader ( "document.pdf" ) print ( f"Pages: { len ( reader . pages ) } " ) Extract text text = "" for page in reader . pages : t...
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8966 tilegym-adding-cutile-kernel nvidia/skills
Adding a cuTile Kernel to TileGym End-to-end workflow for adding a new operator (e.g., my_op ) with cuTile backend. Execution Rules MUST follow these rules strictly: Use TodoWrite to create the checklist below BEFORE writing any code Execute steps in order — do NOT skip ahead or combine steps Mark each todo as completed after finishing, in_progress when starting If a step is not applicable (e.g., no cuTile impl), mark it completed with a note, do NOT silently skip Each step MUST result in a file...
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8967 nemo-mbridge-perf-moe-optimization-workflow nvidia/skills
MoE Training Optimization Workflow Stable docs: @docs/training/moe-optimization.md Card: @skills/nemo-mbridge-perf-moe-optimization-workflow/card.yaml Source: Scalable Training of MoE Models with Megatron Core Quick Reference Think in terms of the paper's Three Walls: memory wall communication wall compute and host-overhead wall MoE tuning is iterative. Fixing one wall usually exposes the next one, so the best workflow is: fit first, scale second, profile third, then retune. First Answer Checkli...
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8968 app-store-optimization sickn33/agentic-awesome-skills
App Store Optimization (ASO) Search visibility and conversion optimization for App Store product pages. This skill covers strategic metadata decisions -- which keywords to target, how to structure descriptions for conversion, and how to use Custom Product Pages and in-app events for discoverability. For metadata compliance rules (character limits, screenshot device requirements, rejection triggers), see the app-store-review skill. Contents Show more Installs 1.7K Repository dpearson2699/sw…s-ski...
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8969 nemo-mbridge-perf-cpu-offloading nvidia/skills
CPU Offloading References Stable docs: @docs/training/cpu-offloading.md Structured metadata: @skills/nemo-mbridge-perf-cpu-offloading/card.yaml What It Is Two independent mechanisms to move data from GPU to CPU memory: Mechanism Config namespace What gets offloaded PP restriction Activation offloading model.cpu_offloading* Activations (and optionally weights) per transformer layer PP must be 1 Optimizer offloading optimizer.optimizer_cpu_offload Adam optimizer states (momentum + variance) via Hy...
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8970 nemo-mbridge-perf-moe-long-context nvidia/skills
MoE Long-Context Training Stable docs: @docs/training/moe-optimization.md Card: @skills/nemo-mbridge-perf-moe-long-context/card.yaml What Changes At Long Context Once sequence length moves well past the 4K-class regime, attention memory and activation residency become the dominant constraints. For MoE models, that usually means you need some combination of: context parallelism selective recompute lower precision CPU offload for optimizer state a dispatcher and PP layout that do not waste the sma...
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8971 vss-deploy-detection-tracking-2d nvidia/skills
Purpose Deploy, debug, and operate the RTVI-CV detection / tracking 2D microservice and drive its REST API. Prerequisites Active VSS deployment reachable on $HOST_IP (see vss-deploy-profile and references/ ). NGC credentials in $NGC_CLI_API_KEY and $NVIDIA_API_KEY for any image pulls. curl , jq , and Docker available on the caller. Instructions Follow the routing tables and step-by-step workflows below. Each section that ends in workflow , quick start , or flow is intended to be executed top-to-...
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8972 vss-deploy-dense-captioning nvidia/skills
Purpose Stand up the RT-VLM dense-captioning microservice on its own and exercise every endpoint it exposes (file upload, generate_captions, stream add/delete, chat-completions, Kafka topics). Prerequisites For standalone RT-VLM deployment: Docker, Docker Compose, NVIDIA Container Toolkit, and a visible GPU. NGC registry credentials in $NGC_CLI_API_KEY for docker login nvcr.io , image pulls, and local NGC model/artifact downloads. curl , jq , and any writable working directory for the standalone...
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8973 nemo-mbridge-perf-moe-comm-overlap nvidia/skills
MoE Communication Overlap For the higher-level overview, see: @docs/training/communication-overlap.md @skills/nemo-mbridge-perf-moe-comm-overlap/card.yaml Quick Decision Use MoE communication overlap when: EP > 1 token dispatch or combine time is visible in the profile the run is already correct and you are now tuning throughput Avoid turning it on as an early bring-up step. It is easier to validate after the dispatcher, routing mode, and recompute plan are already stable. Enablement Show more I...
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8974 vss-deploy-video-embedding nvidia/skills
VSS Video Embedding (RT-Embed) Use this skill when you need to: Deploy the VSS Video Embedding microservice from a Docker Compose file. Generate text or video embeddings against the Cosmos-Embed1-448p model. Embed an uploaded file, an HTTP/S3/file/data URL, or a live RTSP stream. Wire the service into a VSS deployment alongside Redis, Kafka, and OpenTelemetry. Triage readiness, model-download, GPU, or stream-reconnection failures. Trigger phrases: vss-deploy-video-embedding , RT-Embed , rtvi-emb...
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8975 nemotron-policy-generator nvidia/skills
Nemotron Policy Generator When to Use This Skill Activate this skill whenever the user asks for help producing a content-safety policy for NVIDIA Nemotron safety models. Concretely: The user mentions any of: NCS, NCS-VL, NCS-Reasoning, Nemotron Content Safety, NeMo Guardrails, Aegis taxonomy. The user asks to "build", "draft", "generate", "expand", or "extend" a safety policy, content policy, moderation policy, guardrail config, BYO-policy, custom safety taxonomy, eval rubric, or labeling rubric...
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8976 planning-oracle-to-postgres-migration-integration-testing github/awesome-copilot
Planning Integration Testing for Oracle-to-PostgreSQL Migration Analyze a single target project to identify data access artifacts that require integration testing, then produce a structured, actionable testing plan. Workflow Progress: - [ ] Step 1: Identify data access artifacts - [ ] Step 2: Classify testing priorities - [ ] Step 3: Write the testing plan Step 1: Identify data access artifacts Scope to the target project only. Find classes and methods that interact directly with the database — ...
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8977 nemo-mbridge-perf-moe-hardware-configs nvidia/skills
MoE Hardware Configuration Reference Stable docs: @docs/training/moe-optimization.md Card: @skills/nemo-mbridge-perf-moe-hardware-configs/card.yaml Quick Platform Playbook Platform Typical MoE strategy What usually matters most H100 DeepEP + stronger PP + moderate TP communication overlap and PP efficiency B200 DeepEP + MXFP8 + careful PP layout container quality and tuned comm settings GB200 HybridEP + partial CUDA graphs + CPU cleanup host overhead, topology-aware dispatch, memory headroom GB3...
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8978 vss-manage-video-io-storage nvidia/skills
Purpose Manage VIOS and NvStreamer API operations for VSS video input/output and storage workflows: sensors, streams, uploads, snapshots, clips, timelines, and recording status. Prerequisites Active VSS deployment reachable on $HOST_IP (see vss-deploy-profile and references/ ). NGC credentials in $NGC_CLI_API_KEY and $NVIDIA_API_KEY for any image pulls. curl , jq , and Docker available on the caller. Instructions VIOS Operations Call the VIOS REST API to manage cameras/sensors, RTSP streams, rec...
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8979 nemo-mbridge-perf-hierarchical-context-parallel nvidia/skills
Hierarchical Context Parallel Skill This skill covers hierarchical context parallelism: nested context-parallel process groups used by cp_comm_type="a2a+p2p" and configured with hierarchical_context_parallel_sizes . For what hierarchical CP is, when to use it, and the decision tree ( a2a+p2p vs pure a2a vs p2p ), see: @docs/training/hierarchical-context-parallel.md @skills/nemo-mbridge-perf-hierarchical-context-parallel/card.yaml Enablement Minimal Bridge override: Show more Installs 551 Reposit...
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8980 vss-setup-video-analytics-api nvidia/skills
Purpose Deploy the video-analytics-api REST service standalone with the user's chosen config, data-log bind, and Elasticsearch / Kafka connectivity. Instructions Follow the routing tables and step-by-step workflows below. Each section that ends in workflow , quick start , or flow is intended to be executed top-to-bottom. Detailed reference material lives in references/ . Examples Worked end-to-end examples are kept under evals/ (each *.json manifest contains a runnable scenario). Run a Tier-3 ev...
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8981 vss-generate-video-calibration nvidia/skills
Purpose Run AutoMagicCalib end-to-end on local files, RTSP streams, or the bundled sample dataset and (when needed) deploy the AMC microservice. Instructions Follow the routing tables and step-by-step workflows below. Each section that ends in workflow , quick start , or flow is intended to be executed top-to-bottom. Detailed reference material lives in references/ ; load only the reference needed for the selected input mode. Examples Worked end-to-end examples are kept under evals/ (each *.json...
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8982 vercel-deployment sickn33/agentic-awesome-skills
Vercel Deployment Expert knowledge for deploying to Vercel with Next.js Detailed Guide Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely. Prerequisites Required skills: nextjs-app-router Show more Installs 1.8K Repository sickn33/agentic…e-skills GitHub Stars 46.3K First...
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8983 nemo-mbridge-resiliency nvidia/skills
Resiliency Stable docs: @docs/training/resiliency.md, @docs/training/checkpointing.md Card: @skills/nemo-mbridge-resiliency/card.yaml Enablement Fault tolerance (Slurm only) Option 1: NeMo Run plugin (recommended) from megatron . bridge . recipes . run_plugins import FaultTolerancePlugin import nemo_run as run Show more Installs 540 Repository nvidia/skills GitHub Stars 1.3K First Seen May 29, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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8984 backend-dev-guidelines sickn33/agentic-awesome-skills
Backend Development Guidelines (Node.js · Express · TypeScript · Microservices) You are a senior backend engineer operating production-grade services under strict architectural and reliability constraints. Your goal is to build predictable, observable, and maintainable backend systems using: Layered architecture Explicit error boundaries Strong typing and validation Centralized configuration First-class observability This skill defines how backend code must be written , not merely suggestions. 1...
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8985 experience-aura-lwc-migrate forcedotcom/sf-skills
Migrating Aura to LWC Migrate an existing Salesforce Aura component bundle to a Lightning Web Component using a PRD-driven workflow. The Aura source is analyzed through eight expert lenses (static references, data, API surface, slots, styling, default values, unknown dependencies, redundant-code cleanup) to produce a framework-agnostic PRD, which is handed to the LWC authoring skills and verified against the Aura→LWC completeness checklist. When to Use Porting an Aura bundle ( .cmp , .controller...
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8986 steel-browser steel-dev/cli
Steel Browser Skill Steel gives agents cloud browser sessions, explicit lifecycle control, and better anti-blocking options than ad-hoc local browser automation. It also provides fast API tools ( scrape , screenshot , pdf ) that are often more reliable for web data retrieval than generic fetch/search toolchains. Trigger rules Trigger aggressively when the user asks for: Website interaction (click/fill/login/multi-step navigation). Web extraction or collection from dynamic pages. Screenshot or PD...
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8987 interview prep generator paramchoudhary/resumeskills
Use this skill when the user wants to: - Prepare for a job interview - Practice answering interview questions - Create STAR stories from their experience - Anticipate questions for a specific role - Mentions: "interview prep", "prepare for interview", "STAR stories", "interview questions", "behavioral questions" Core Capabilities - Generate role-specific interview questions - Create STAR stories from resume bullets - Predict questions based on job description - Prepare answers for com...
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8988 security-review sickn33/antigravity-awesome-skills
Security Review Skill Identify exploitable security vulnerabilities in code. Report only HIGH CONFIDENCE findings—clear vulnerable patterns with attacker-controlled input. Scope: Research vs. Reporting CRITICAL DISTINCTION: Report on : Only the specific file, diff, or code provided by the user Research : The ENTIRE codebase to build confidence before reporting Show more Installs 17.1K Repository getsentry/skills GitHub Stars 1.0K First Seen Jan 29, 2026 Security Audits Gen Agent Trust Hub Fail S...
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8989 frontend-design affaan-m/everything-claude-code
This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices. The user provides frontend requirements: a component, page, application, or interface to build. They may include context about the purpose, audience, or technical constraints. Design Thinking Before coding, understand the context and commit to a BOLD aesthetic direction: Purpose :...
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8990 tech resume optimizer paramchoudhary/resumeskills
Use this skill when the user: - Is applying for software engineering roles - Wants to optimize a technical resume - Needs help with developer/PM/technical job applications - Mentions: "tech resume", "software engineer resume", "developer resume", "technical resume", "SWE resume", "PM resume" Core Capabilities - Optimize resumes for technical roles (SWE, PM, Data, DevOps) - Structure technical skills sections effectively - Highlight projects and technical achievements - Balance technica...
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8991 job description analyzer paramchoudhary/resumeskills
Use this skill when the user: - Wants to analyze a job posting - Asks "should I apply to this job?" - Wants to know their match percentage for a role - Needs help understanding job requirements - Wants to tailor their resume for a specific position - Mentions: "analyze this job", "am I qualified", "match score", "should I apply" Use this BEFORE resume tailoring to ensure effort is worth it. Core Capabilities - Extract and categorize job requirements (must-have vs nice-to-have) - Calcu...
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8992 resume formatter paramchoudhary/resumeskills
Use this skill when the user: - Needs help with resume layout and formatting - Has a messy or hard-to-read resume - Wants to ensure ATS compatibility through formatting - Needs a clean, professional design - Mentions: "format resume", "resume layout", "resume design", "clean resume", "professional format" Core Capabilities - Structure resumes for optimal readability - Ensure ATS compatibility through formatting - Create visual hierarchy - Optimize white space and margins - Select app...
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8993 c-level-advisor alirezarezvani/claude-skills
C-Level Advisory Ecosystem A complete virtual board of directors for founders and executives. Quick Start 1. Run /cs:setup → creates company-context.md (all agents read this) 2. Ask any strategic question → Chief of Staff routes to the right role 3. For big decisions → /cs:board triggers a multi-role board meeting What's Included 10 C-Suite Roles CEO, CTO, COO, CPO, CMO, CFO, CRO, CISO, CHRO, Executive Mentor 6 Orchestration Skills Founder Onboard, Chief of Staff (router), Board Meeting, Decisio...
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8994 houdini sfkislev/flue
This skill lets a coding agent operate SideFX Houdini on the desktop through Flue , a local shell-to-application bridge. The agent pipes Python into houdini_bridge.py and gets structured JSON back. agent shell -> houdini_bridge.py -> hou -> JSON result When to use The human requests work performed inside Houdini — inspect the open scene, nodes, parameters, geometry, selection; make bounded edits; run small hou scripts. A CLI agent cannot act inside Houdini without a bridge like Flue. How to proc...
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8995 autodesk sfkislev/flue
This skill lets a coding agent operate Autodesk desktop applications through Flue , a local shell-to-application bridge. Flue currently covers Autodesk 3ds Max through a consistent stdin/stdout contract; further Autodesk adapters are in scope. agent shell -> 3dsmax_bridge.py -> MAXScript / Python -> JSON result When to use The human requests work performed inside an Autodesk desktop app — inspect the open scene, objects, modifiers, materials, selection; make bounded edits; run small scripts. A C...
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8996 ce-slack-research everyinc/compound-engineering-plugin
/ce-slack-research Search Slack for organizational context and receive an interpreted research digest. Usage /ce-slack-research [topic or question] /ce-slack-research Examples /ce-slack-research free trial /ce-slack-research What did we say about free trial recently? /ce-slack-research free trial in proj-reverse-trial /ce-slack-research onboarding flow after:2026-03-01 Show more
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8997 ce-demo-reel everyinc/compound-engineering-plugin
Demo Reel Detect project type, recommend a capture tier, record visual evidence, upload to a public URL, and return markdown for PR inclusion. Evidence means USING THE PRODUCT, not running tests. "I ran npm test" is test evidence. Evidence capture is running the actual CLI command, opening the web app, making the API call, or triggering the feature. The distinction is absolute -- test output is never labeled "Demo" or "Screenshots." If real product usage is impractical (requires API keys, cloud ...
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8998 ce-agent-native-architecture everyinc/compound-engineering-plugin
Agent-native applications treat agents as first-class citizens. Features are outcomes achieved by an agent with tools operating in a loop, not functions written in code. The same architecture that powers Claude Code can power apps far beyond coding. Five core principles: Parity — Whatever the user can do through the UI, the agent can achieve through tools. Granularity — Tools are atomic primitives; features are prompt-defined outcomes. To change behavior, edit prose, not code. Composability — Ne...
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8999 ce-frontend-design everyinc/compound-engineering-plugin
Frontend Design Guide creation of distinctive, production-grade frontend interfaces that avoid generic AI aesthetics. This skill covers the full lifecycle: detect what exists, plan the design, build with intention, and verify visually. Authority Hierarchy Every rule in this skill is a default, not a mandate. Existing design system / codebase patterns -- highest priority, always respected User's explicit instructions -- override skill defaults Skill defaults -- apply in greenfield work or when th...
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9000 ce-dhh-rails-style everyinc/compound-engineering-plugin
<essential_principles> Core Philosophy "The best code is the code you don't write. The second best is the code that's obviously correct." Vanilla Rails is plenty: Rich domain models over service objects CRUD controllers over custom actions Concerns for horizontal code sharing Records as state instead of boolean columns Database-backed everything (no Redis) Build solutions before reaching for gems Show more
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