14,252 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
A vision bridge that sends images to supported visual-language services and returns text descriptions to a text-only model. It includes tools for image analysis, text extraction, image comparison, error screenshots, diagrams, and interface reviews.
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Write photorealistic live-action cinematic Seedance 2.0 prompts for Higgsfield, built on five grounding pillars that stop AI drift and floaty motion. Use for "cinematic film prompt", "shot like a movie", realistic body movement, grounded motion, restrained emotional close-ups, driving scenes, fight choreography…
A Chinese-language skill that turns a one-sentence video idea into a complete storyboard prompt after asking for missing details. It organises the prompt into basic settings, mood and image quality, and visual content for video models such as Seedance 2.0.
Build high-quality, structured prompts using the 10-block framework from Anthropic's 'Prompting 101' workshop. Interview-style: asks 4 targeted questions, picks a task-type template, and produces a production-grade prompt with annotations and a test plan.
★not rated 4 5mo agoA
tokens not measured
originalMIT
Compose MiniMax-H3 video-with-native-audio prompts in H3's mandatory structured format — full-reference (Ref2VA) and text-to-video (T2VA) only. Use whenever the target model is MiniMax-H3: the user says MiniMax, MiniMax-H3, H3, ref2va / r2v / t2v, names a minimaxh3 checkpoint, or names the MiniMaxH3ReferenceToVideo /…
Use when evaluating AI/ML research ideas, choosing research directions, framing problems, planning experiments, improving research taste or paper storytelling, resisting trend-following, or applying Saining Xie's interview-derived views on visual intelligence, world models, research culture, and scientific taste.
Operate the entire Oracle AI Data Platform (AIDP) Workbench in natural language — a 37-skill agent (not a single-engine orchestrator). Discovers your catalog into a grounding cache (FK/join hints + value dictionaries), turns plain English into accurate Spark SQL, and runs the full lakehouse SQL lifecycle…
★not rated 4▲
+1 3mo agoA
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originalMIT
Use when migrating Matillion pipelines/jobs to a dbt project — both Data Productivity Cloud pipelines (.orch.yaml / .tran.yaml) and Matillion ETL job exports (JSON). Maps each transformation component to a dbt model, snapshot, or macro; applies best-practice tests, docs, and contracts; validates the result against…
Unified MCP server for scraping Salesforce developer documentation and searching a local SQLite vector-like database. Runs locally from the unified-sf-docs-mcp npm package.
Give your text-only LLM eyes: an MCP server that reads images via external OpenAI-compatible vision models (OpenAI, Qwen-VL, GLM, Gemini, Grok, Ollama...) with automatic provider fallback on rate-limit/errors. Runs locally from the dsh-vision-mcp npm package.
★not rated 4 2mo agoA
tokens not measured
originalMIT
A graph-based memory system for LLMs with intelligent retrieval using knowledge graphs, hybrid search, and semantic embeddings. Runs locally from the memograph Python package. Needs 7 environment variables to run.
★not rated 4 2mo agoA
tokens not measured
originalMIT
ASAM ODS MCP Server - Query and analyze measurement data from ASAM ODS servers in AI agent systems. Runs locally from the odsbox_jaquel_mcp Python package. Needs 3 environment variables to run.
★not rated 4 3d agoASocket: warn
tokens not measured
Manage Zilliz Cloud clusters and Milvus vector databases from Claude Code using the zilliz-cli.
★not rated 3
changed 14d agoA
tokens not measured
originalApache-2.0
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: