Publisher

Skills by arunnadarasa

20 published skills, 608 installs in total.

Scaffold and deploy quantum apps using Quantinuum, Guppy circuits, Selene backend, and Fly.io.

by arunnadarasa30 installs1 stars

Autonomously plans, develops, tests, and delivers full software projects from plain-English prompts using coordinated multi-agent roles and automated quality...

by arunnadarasa46 installs3 stars

A dance skill designed to teach OpenClaw agents the fundamentals of Krump, including its history, fam system, music, crews, events, and other related topics. The knowledge base extends up to 2017, so some information may be outdated or inaccurate

by arunnadarasa68 installs1 stars

Krump Knowledge and Personality Identity — embodies Asura's legacy, lineage, and technical expertise

by arunnadarasa65 installs

Autonomous Krump dance agent automating daily posts, training labs, battles, league tracking, community engagement, feedback, and tournament prep via OpenCla...

by arunnadarasa37 installs

Teaches OpenClaw agents to act as a Krump-inspired physiotherapy coach. Use when building or assisting physio/fitness agents, therapeutic movement scoring (j...

by arunnadarasa34 installs

Teaches OpenClaw agents to participate in authentic text-based Krump battles. Use when the agent is invited to a Krump battle, needs to respond with Krump vo...

by arunnadarasa35 installs

Enables building and deploying quantum computing applications with Quantinuum, Guppy, Selene, and Fly.io. Use for the OpenClaw Clinical Hackathon, clinical o...

by arunnadarasa29 installs

Enables AI agents (e.g. OpenClaw) to understand and use Krump Verify for on-chain move verification against Story IP. Use when the user or agent needs to ver...

by arunnadarasa27 installs

Implements USDC x402 payments via PayAI (EIP-3009) and DHM x402 payments via EVVM native (signed pay). Use when adding x402 payment flows, PayAI Echo integra...

by arunnadarasa22 installs

Helps OpenClaw Clinical Hackathon participants get started quickly building clinical and healthcare apps with Lovable. Use when the user is building a clinic...

by arunnadarasa26 installs1 stars

DanceTempo / DanceTech Protocol — full repo context via public/llm-full.txt (or /llm-full.txt), tribal debugging via CLAWHUB.md, Tempo + MPP/x402 patterns, d...

by arunnadarasa19 installs

Pay with USDC Krump (USDC.k) via x402 on Story Aeneid EVVM. Supports EVVM Native adapter (no EIP-3009 on token) and legacy Bridge adapter. Requires PRIVY_APP...

by arunnadarasa15 installs

Clinical Tempo / HealthTech Protocol — full repo context via public/llm-full.txt (or /llm-full.txt), tribal debugging via CLAWHUB.md, Tempo + MPP/x402 patter...

by arunnadarasa15 installs

Enables AI agents to train, battle, and participate in the Krump dance community on Moltbook via daily drills, weekly battles, events, and monthly tournaments.

by arunnadarasa69 installs

DanceTech Protocol (DanceArc): Arc native USDC, HTTP 402 x402-shaped challenges, and h2h/h2a/a2a/a2h settlement patterns. Use when: (1) Implementing or debug...

by arunnadarasa14 installs

Pay with USDC.d via x402 protocol on Story Aeneid EVVM using Privy server wallets. Uses BridgeUSDC (custom bridge) until LayerZero supports Story Aeneid.

by arunnadarasa11 installs

Teaches how to play KrumpKraft with EVVM payments, USDC.k and $IP. Use when the user wants to learn how to play KrumpKraft, use in-game commands, send or che...

by arunnadarasa24 installs

Converts text to natural speech using ElevenLabs for clinical and healthcare use cases. Use when generating patient instructions, discharge summaries, medica...

by arunnadarasa22 installs

Master OpenClaw skill for Quantum Krump — synthesizing authentic Krump street dance culture, Laban Effort Analysis, Bloch sphere geometry, DisCoPy categorical string diagrams, Quantinuum Guppy v1.0 / Selene trapped-ion circuit simulation, QUBO stage scheduling, biophysical motor-unit grounding, and Physical AI humanoid robotics. Use when users ask to choreograph, simulate, analyze, or verify quantum-embodied dance phrases, compile Krump movements to quantum circuits or Selene emulator shots, optimize multi-dancer stage paths, explore Laban-Krump-Bloch mappings, or teach quantum information concepts through street dance.

by arunnadarasa

About Ottermind skills

Every published skill from arunnadarasa. Following a publisher whose work already fits how you operate is often faster than evaluating individual skills one at a time.

Skills cover the full range of what an Ottermind agent does: building editable PowerPoint decks, generating product and brand images, writing and running code on a machine you connect, producing video from a script or a still, and cleaning and analysing spreadsheet data. A skill is what turns a general model into something that handles your specific version of one of those jobs the same way every time.

A skill is a plain Markdown file with a short frontmatter header, which means you can read exactly what it will do before running it, edit it to match your own conventions, and share it with colleagues. Once a skill produces the result you wanted, it can be attached to an agent or scheduled as an automation so the same work happens again without anyone rewriting the prompt.

What is an Ottermind skill?
A reusable instruction package written in Markdown. It gives an agent the context, steps, and constraints for one kind of task, so results stay consistent instead of depending on how well you phrased the prompt that day.
How do I install and use a skill?
Open any skill's detail page, read the full document, and install it into your workspace. From then on the agent can use it automatically when the task matches, or you can invoke it by name.
Can I create my own skill?
Yes. A skill is a Markdown file with frontmatter naming it and describing when it should be used. If you have a workflow you keep re-explaining to an agent, writing it down once as a skill is usually the shortest path to making it repeatable.
Do skills cost extra?
Browsing and installing skills from this library does not cost anything on its own. Running one consumes the same credits as any other agent task, depending on the model you choose and how much work the task involves.