Catalog pagination

Agent Skills catalog · page 128

Standard HTML pagination keeps the complete catalog discoverable. Use the main directory for search, filtering, and comparison.

Current page
128/209
Entries on page
24
URL status
Self-canonical
Computed 9189

aAAaqwq/AGI-Super-Team

postgresql-database-engineering

Comprehensive PostgreSQL database engineering skill covering indexing strategies, query optimization, performance tuning, partitioning, replication, backup and recovery, high availability, and production database management. Master advanced PostgreSQL features including MVCC, VACUUM operations, connection pooling, monitoring, and scalability patterns.

Computed 9189

dhicoc/dsh-reverse-skill

reverse-engineering

Provides reverse engineering techniques. Use when the main job is to understand how a compiled, obfuscated, packed, or virtualized target works before exploiting or solving it, including binaries, APKs, WASM, firmware, custom VMs, bytecode, malware-like loaders, and anti-debug or anti-analysis logic. Do not use it when the vulnerability is already understood and the remaining task is exploitation; use pwn instead. Do not use it for pure web workflows, log or disk forensics, or standalone crypto

Computed 9189

aAAaqwq/AGI-Super-Team

sandler-system

Apply Sandler Selling System principles for consultative sales with pain discovery, budget qualification, and mutual decision frameworks

Computed 9189

aAAaqwq/AGI-Super-Team

segment-automation

Automate Segment tasks via Rube MCP (Composio): track events, identify users, manage groups, page views, aliases, batch operations. Always search tools first for current schemas.

Computed 9189

aAAaqwq/AGI-Super-Team

sendgrid-automation

Automate SendGrid email operations including sending emails, managing contacts/lists, sender identities, templates, and analytics via Rube MCP (Composio). Always search tools first for current schemas.

Computed 9189

aAAaqwq/AGI-Super-Team

skill-search-optimizer

Optimize agent skills for discoverability on ClawdHub/MoltHub. Use when improving search ranking, writing descriptions for semantic search, understanding how the registry indexes skills, testing search visibility, or analyzing why a skill isn't being found.

Computed 9189

aAAaqwq/AGI-Super-Team

slack-automation

Automate Slack messaging, channel management, search, reactions, and threads via Rube MCP (Composio). Send messages, search conversations, manage channels/users, and react to messages programmatically.

Computed 9189

aAAaqwq/AGI-Super-Team

supabase-automation

Automate Supabase database queries, table management, project administration, storage, edge functions, and SQL execution via Rube MCP (Composio). Always search tools first for current schemas.

Computed 9189

aAAaqwq/AGI-Super-Team

vibe-code-auditor

Audit rapidly generated or AI-produced code for structural flaws, fragility, and production risks.

Computed 9189

aAAaqwq/AGI-Super-Team

webflow-automation

Automate Webflow CMS collections, site publishing, page management, asset uploads, and ecommerce orders via Rube MCP (Composio). Always search tools first for current schemas.

Computed 9189

aAAaqwq/AGI-Super-Team

zoom-automation

Automate Zoom meeting creation, management, recordings, webinars, and participant tracking via Rube MCP (Composio). Always search tools first for current schemas.

Computed 9388

base44/skills

review-skills

Review and analyze a skill against best practices for length, intent scope, and trigger patterns

Computed 9188

base44/skills

base44-cli

The base44 CLI is used for EVERYTHING related to base44 projects: resource configuration (entities, backend functions, ai agents), initialization and actions (resource creation, deployment). This skill is the place for learning about how to configure resources. When you plan or implement a feature, you must learn this skill

Computed 9188

base44/skills

base44-sdk

The base44 SDK is the library to communicate with base44 services. In projects, you use it to communicate with remote resources (entities, backend functions, ai agents) and to write backend functions. This skill is the place for learning about available modules and types. When you plan or implement a feature, you must learn this skill

Computed 9287

linkfox-ai/linkfox-skills

linkfox-ruiguan-gun-parts-search

Review linkfox-ruiguan-gun-parts-search's use cases, installation, workflow, and original source instructions.

Computed 9187

linkfox-ai/linkfox-skills

linkfox-junglescout-keyword-share-of-voice

Use it for engineering and marketing tasks; the detail page covers purpose, installation, and practical steps.

Computed 9187

linkfox-ai/linkfox-skills

linkfox-mpstats-ozon-seller-products

Review linkfox-mpstats-ozon-seller-products's use cases, installation, workflow, and original source instructions.

Computed 9187

linkfox-ai/linkfox-skills

linkfox-product-title-analyze

Use it for research tasks; the detail page covers purpose, installation, and practical steps.

Computed 9187

linkfox-ai/linkfox-skills

linkfox-seerfar-ozon-product-report-search

Use it for sales and research tasks; the detail page covers purpose, installation, and practical steps.

Computed 9187

linkfox-ai/linkfox-skills

linkfox-sellersprite-competitor-lookup

Use it for sales and research tasks; the detail page covers purpose, installation, and practical steps.

Computed 9187

linkfox-ai/linkfox-skills

linkfox-sellersprite-product-search

Use it for sales and research tasks; the detail page covers purpose, installation, and practical steps.

Computed 9486

NVIDIA-TAO/tao-skill-bank

tao-finetune-huggingface-model

Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no dedicated TAO model skill matches. Use when the user wants to fine-tune a HuggingFace model (full or LoRA), train a vision / VLM / LLM model end-to-end, generate a reproducible HF training pipeline, smoke-test a HuggingFace model locally before scale-up, push a fine-tuned model to the HF Hub with a model card, or emit a self-contained rerun skill for an existing HuggingFace finetune. Suppo

Computed 9386

NVIDIA-TAO/tao-skill-bank

tao-generate-video-reasoning-annotations

Multi-step video annotation pipeline that turns raw videos into Chain-of-Thought training data — multi-level captions, structured descriptions, and QA pairs (MCQ, binary, open-ended) with reasoning traces, via VLM/LLM distillation. Use when the user wants to "create video training data", "generate video QA datasets", "build CoT reasoning traces from videos", "auto-label videos", or run the video_reasoning_annotation pipeline. Triggers include "video annotation", "video CoT", "video QA", "chain-o

Computed 9386

NVIDIA-TAO/tao-skill-bank

tao-train-dino

DINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector with denoising training, multi-scale features, and optional distillation support. Use when training, evaluating, exporting, distilling, quantizing, or running inference for a TAO DINO detector. Trigger phrases include "train DINO", "DETR object detection", "TAO 2D detection", "DINO with distillation".