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Found 10 Skills
Transform session learnings into permanent capabilities (skills, rules, agents). Use when asked to "improve setup", "learn from sessions", "compound learnings", or "what patterns should become skills".
Semgrep integration. Manage Rules, Scans. Use when the user wants to interact with Semgrep data.
Configure markdownlint rules and options including rule management, configuration files, inline comments, and style inheritance.
Automated AI-powered code review that runs on git hooks with progressive disclosure design. Use when setting up automated code review for a project, installing git hooks for code review, creating or modifying review rules, or configuring review behavior. Triggers on requests like "set up AI code review", "install review hooks", "create review rules", or "configure code reviewer".
Trigger Scenarios: (1) Explicit memory requests – remember, record, don't forget, pay attention next time, form rules, generate summaries/record documents; (2) Correction and modification – note, incorrect, wrong, it should be, change to, replace with, don't, also need, missing; (3) Preference expression – I prefer, in the future, it's better, suggest, my habit, I usually; (4) Global specifications – unified, all, every, any, each, every time, all, uniformly; (5) Conversation end settlement – when the conversation ends naturally or the topic switches. Convert users' corrections, preferences and rules into structured memory files to improve the output quality of subsequent conversations.
Edit a vigiles .spec.ts to change a compiled instruction file (CLAUDE.md / AGENTS.md) — add, modify, or remove a rule, section, command, or key file. Use whenever you need to change a CLAUDE.md/AGENTS.md that carries a vigiles hash (edit the spec, never the artifact), including adding a new enforce()/check()/guidance() rule.
Self-improving agent patterns. Use when detecting corrections, proposing rules, or managing learned behaviors.
Automatic response rules, patterns, and scheduled messages
Implement Syncfusion Blazor Query Builder component for building dynamic, customizable query interfaces with complex filtering logic. Use this when creating advanced search interfaces, implementing business rule engines, or building data filtering workflows with nested condition groups and AND/OR logic. Supports rule management, drag-drop UI, state persistence, and extensive customization options.
Automatically persist useful context — research, decisions, learnings, templates — to workspace files so knowledge survives across conversations.