dabit3/sonic-agent

openhands

Delegate coding to OpenHands CLI (model-agnostic, LiteLLM).

原文の言語: 英語

web-pentest

Authorized web application penetration testing — reconnaissance, vulnerability analysis, proof-based exploitation, and professional reporting. Adapts Shannon's "No Exploit, No Report" methodology with hard guardrails for scope, authorization, and aux-client…

原文の言語: 英語

code-wiki

Generate wiki docs + Mermaid diagrams for any codebase.

原文の言語: 英語

xurl

X/Twitter via xurl CLI: post, search, DM, media, v2 API.

原文の言語: 英語

sonic-agent

Configure, extend, or contribute to Sonic Agent.

原文の言語: 英語

sonic-s6-container-supervision

Modify, debug, or extend the s6-overlay supervision tree inside the Sonic Agent Docker image — adding new services, debugging profile gateways, understanding the Architecture B main-program pattern.

原文の言語: 英語

darwinian-evolver

Evolve prompts/regex/SQL/code with Imbue's evolution loop.

原文の言語: 英語

blackbox

Delegate coding tasks to Blackbox AI CLI agent. Multi-model agent with built-in judge that runs tasks through multiple LLMs and picks the best result. Requires the blackbox CLI and a Blackbox AI API key.

原文の言語: 英語

honcho

Configure and use Honcho memory with Sonic -- cross-session user modeling, multi-profile peer isolation, observation config, dialectic reasoning, session summaries, and context budget enforcement. Use when setting up Honcho, troubleshooting memory, managing…

原文の言語: 英語

evm

Read-only EVM client: wallets, tokens, gas across 8 chains.

原文の言語: 英語

hyperliquid

Hyperliquid market data, account history, trade review.

原文の言語: 英語

solana

Query Solana blockchain data with USD pricing — wallet balances, token portfolios with values, transaction details, NFTs, whale detection, and live network stats. Uses Solana RPC + CoinGecko. No API key required.

原文の言語: 英語

one-three-one-rule

Structured decision-making framework for technical proposals and trade-off analysis. When the user faces a choice between multiple approaches (architecture decisions, tool selection, refactoring strategies, migration paths), this skill produces a 1-3-1…

原文の言語: 英語

blender-mcp

Control Blender directly from Sonic via socket connection to the blender-mcp addon. Create 3D objects, materials, animations, and run arbitrary Blender Python (bpy) code. Use when user wants to create or modify anything in Blender.

原文の言語: 英語

concept-diagrams

Generate flat, minimal light/dark-aware SVG diagrams as standalone HTML files, using a unified educational visual language with 9 semantic color ramps, sentence-case typography, and automatic dark mode. Best suited for educational and non-software visuals —…

原文の言語: 英語

hyperframes

Create HTML-based video compositions, animated title cards, social overlays, captioned talking-head videos, audio-reactive visuals, and shader transitions using HyperFrames. HTML is the source of truth for video. Use when the user wants a rendered MP4/WebM…

原文の言語: 英語

kanban-video-orchestrator

Plan, set up, and monitor a multi-agent video production pipeline backed by Sonic Kanban. Use when the user wants to make ANY video — narrative film, product/marketing, music video, explainer, ASCII/terminal art, abstract/generative loop, comic, 3D,…

原文の言語: 英語

meme-generation

Generate real meme images by picking a template and overlaying text with Pillow. Produces actual .png meme files.

原文の言語: 英語

inference-sh-cli

Run 150+ AI apps via inference.sh CLI (infsh) — image generation, video creation, LLMs, search, 3D, social automation. Uses the terminal tool. Triggers: inference.sh, infsh, ai apps, flux, veo, image generation, video generation, seedream, seedance, tavily

原文の言語: 英語

docker-management

Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.

原文の言語: 英語

pinggy-tunnel

Zero-install localhost tunnels over SSH via Pinggy.

原文の言語: 英語

watchers

Poll RSS, JSON APIs, and GitHub with watermark dedup.

原文の言語: 英語

adversarial-ux-test

Roleplay the most difficult, tech-resistant user for your product. Browse the app as that persona, find every UX pain point, then filter complaints through a pragmatism layer to separate real problems from noise. Creates actionable tickets from genuine issues…

原文の言語: 英語

agentmail

Give the agent its own dedicated email inbox via AgentMail. Send, receive, and manage email autonomously using agent-owned email addresses (e.g. sonic-agent@agentmail.to).

原文の言語: 英語

3-statement-model

Build fully-integrated 3-statement models (IS, BS, CF) in Excel with working capital schedules, D&A roll-forwards, debt schedule, and the plugs that make cash and retained earnings tie. Pairs with excel-author.

原文の言語: 英語

comps-analysis

Build comparable company analysis in Excel — operating metrics, valuation multiples, statistical benchmarking vs peer sets. Pairs with excel-author. Use for public-company valuation, IPO pricing, sector benchmarking, or outlier detection.

原文の言語: 英語

dcf-model

Build institutional-quality DCF valuation models in Excel — revenue projections, FCF build, WACC, terminal value, Bear/Base/Bull scenarios, 5x5 sensitivity tables. Pairs with excel-author. Use for intrinsic-value equity analysis.

原文の言語: 英語

excel-author

Build auditable Excel workbooks headless with openpyxl — blue/black/green cell conventions, formulas over hardcodes, named ranges, balance checks, sensitivity tables. Use for financial models, audit outputs, reconciliations.

原文の言語: 英語

lbo-model

Build leveraged buyout models in Excel — sources & uses, debt schedule, cash sweep, exit multiple, IRR/MOIC sensitivity. Pairs with excel-author. Use for PE screening, sponsor-case valuation, or illustrative LBO in a pitch.

原文の言語: 英語

merger-model

Build accretion/dilution (merger) models in Excel — pro-forma P&L, synergies, financing mix, EPS impact. Pairs with excel-author. Use for M&A pitches, board materials, or deal evaluation.

原文の言語: 英語

pptx-author

Build PowerPoint decks headless with python-pptx. Pairs with excel-author for model-backed decks where every number traces to a workbook cell. Use for pitch decks, IC memos, earnings notes.

原文の言語: 英語

stocks

Stock quotes, history, search, compare, crypto via Yahoo.

原文の言語: 英語

fitness-nutrition

Gym workout planner and nutrition tracker. Search 690+ exercises by muscle, equipment, or category via wger. Look up macros and calories for 380,000+ foods via USDA FoodData Central. Compute BMI, TDEE, one-rep max, macro splits, and body fat — pure Python, no…

原文の言語: 英語

neuroskill-bci

Connect to a running NeuroSkill instance and incorporate the user's real-time cognitive and emotional state (focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, sleep staging, and 40+ derived EXG scores) into responses. Requires a BCI…

原文の言語: 英語

fastmcp

Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP…

原文の言語: 英語

mcporter

Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.

原文の言語: 英語

openclaw-migration

Migrate a user's OpenClaw customization footprint into Sonic Agent. Imports Sonic-compatible memories, SOUL.md, command allowlists, user skills, and selected workspace assets from ~/.openclaw, then reports exactly what could not be migrated and why.

原文の言語: 英語

huggingface-accelerate

Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace…

原文の言語: 英語

chroma

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or…

原文の言語: 英語

clip

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning.…

原文の言語: 英語