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Found 22 Skills
Deploy and manage Clanker ERC-20 tokens on Base and Arbitrum. Trigger phrases: deploy token, launch token on Clanker, create token on Base, search Clanker tokens, list latest tokens, claim LP rewards, claim Clanker fees.
Deploy ERC20 tokens with Uniswap V4 pools on Base, Ethereum, Arbitrum
Deploy ERC20 tokens on Base, Ethereum, Arbitrum, and other EVM chains using the Clanker SDK. Use when the user wants to deploy a new token, create a memecoin, set up token vesting, configure airdrops, manage token rewards, claim LP fees, or update token metadata. Supports V4 deployment with vaults, airdrops, dev buys, custom market caps, vanity addresses, and multi-chain deployment.
README style guide for concise, direct documentation. Use when writing or editing README files.
Review a Ralph plan and bd graph for defects via a subagent.
Multi-model deep review of the Ralph bd graph and plan via three parallel opencode processes (claude opus, gemini, gpt). Use for high-stakes runs where cross-model consensus reduces single-model bias.
Use to review uncommitted changes and recent commits in the working tree. Dispatches 8 specialized review agents in parallel and returns a consolidated report
Whole-codebase deep audit. Partitions the repo into 25-file components, runs 9 perspectives by 3 models (OpenAI, Gemini, Claude) on every component via opencode run with Serena navigation, sweeps for gaps, and runs one ocr scan coverage pass. Then collates and deduplicates the findings and verifies every Critical and High issue against a clean export of the reviewed commit with isolated claude -p judges. The run directory feeds the review-tickets skill.
Set up a Quiver bolt's three-layer bootstrap stack (public bootstrap repo, private dotfiles repo, private workspace repo, an age key, and an SSH key) and create the bolt. Use when a user wants to configure a new Quiver persona or dotfiles stack, onboard to Quiver, or spin up a bolt dev environment from scratch. Works on macOS, Linux, and Windows.
Turn a review-deep, review-full, or review-diff run's verified issues into Jira ticket files. Re-cuts each issue into one ticket per file from the reviewers' own text, judges and edits every finding against a clean checkout with isolated claude -p processes, merges tickets that share one fix, assembles Jira wiki tickets with code copied from git, and checks them. Ends with posting guidance for any Jira client and a bundle ticket for deferred low-priority work.
Azure DevOps operations via az CLI. Always when working with Azure Devops for repository management and pull requests.
This skill should be used when the user asks to research, google, search the web, look it up, check the latest, find best practices, read a URL, compare options, verify a claim, or otherwise needs information that is external, current, or better sourced than recall.