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Found 22 Skills
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.
Review every change on this branch against main across 9 perspectives, then review-deep's scripted collate, verify, and report chain over the same findings. Covers committed, staged, unstaged, and untracked work.
What the markdown formatter rewrites and which lint rules it cannot fix. Use before writing markdown intended for a human reader, so the file comes out conforming instead of being reformatted afterward.
Whole-codebase review by nine specialized reviewer agents against a repomix-packed snapshot, then review-deep's scripted collate, verify, and report chain over the same findings.
Orient in a new or unfamiliar repo using Serena LSP symbol analysis with bash fallback.
Use when a factual claim lacks evidence, when called out for fabricating facts, or when a statement needs verification before being presented as true. Takes a claim as argument.
Build an evidence-based historical report to answer questions. Use when the user asks for archeology, detective work, historical timeline, or historical record.
Author a beads-backed Ralph Wiggum loop for in-session or external autonomous execution.
Memecoin discovery and risk assessment via EmblemAI. Trending memecoins on Solana, Base, and Hedera. Pump.fun and LaunchLab new token alerts, Clanker discovery, rug-pull detection, holder analysis, and smart money tracking. Use when the user wants to find new memecoins, check if a token is a rug pull, or scout trending low-cap tokens.