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Found 21 Skills
This skill should be used when the user asks to "update documentation for my changes", "check docs for this PR", "what docs need updating", "sync docs with code", "scaffold docs for this feature", "document this feature", "review docs completeness", "add docs for this change", "what documentation is affected", "docs impact", or mentions "docs/", "docs/01-app", "docs/02-pages", "MDX", "documentation update", "API reference", ".mdx files". Provides guided workflow for updating Next.js documentation based on code changes.
Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
Implements stories with code and tests.
Add new skills to an existing workflow and update all related documentation. Use when user wants to add skills from GitHub URLs to a workflow (e.g., "add this skill to the workflow", "为工作流添加技能"). Triggers on adding skills to workflows, updating workflow documentation after skill additions.
Guide for removing skills from an existing workflow and updating all related documentation. Use when user wants to remove skills from a workflow (e.g., "remove skill", "delete skill", "移除技能", "删除技能").
Create a new built-in evlog enricher to add derived context to wide events. Use when adding a new enricher (e.g., for deployment metadata, tenant context, feature flags, etc.) to the evlog package. Covers source code, tests, and all documentation.
This skill should be used when user asks to "commit these changes", "write commit message", "stage and commit", "create a commit", "commit staged files", or runs /commit-staged or /commit-creator commands.
Analyze repository structure and generate or update standardized AGENTS.md files that serve as contributor guides for AI agents. Supports both single-repo and monorepo structures. Measures LOC to determine character limits and produces structured documents covering overview, folder structure, patterns, conventions, and working agreements. Update mode refreshes only the standard sections while preserving user-defined custom sections. Use when setting up a new repository, onboarding AI agents to an existing codebase, updating an existing AGENTS.md, or when the user mentions AGENTS.md.
Standardize requirement/feature changes in an existing codebase (especially Chrome extensions) by turning "改需求/需求变更/调整交互/改功能/重构流程" into a repeatable loop: clarify acceptance criteria, confirm current behavior from code, assess impact/risk, design the new logic, implement with small diffs, run a fixed regression checklist, and update docs/decision log. Use when the user feels the change process is chaotic, when edits tend to sprawl across files, or when changes touch manifest/service worker/OAuth/storage/UI and need reliable verification + rollback planning.
Elevate a working PR: hindsight review, refactor, simplify, test audit, docs, quality gates. Composes: hindsight-reviewer agent, /refactor, /simplify, /update-docs, /check-quality, /distill. Use when: PR works but could be better. "How would we do this knowing what we know now?"
Manages AI SDK model configurations - updates packages, identifies missing models, adds new models with research, and updates documentation
Synchronize the base44-sdk skill with the latest SDK source code from the Base44 SDK repository