PubMed author profile analysis. Author name → PubMed fetch → study type classification → visualization → strategy report.
Score 70/100
Analyze content sequences and determine authoring approach (default content vs blocks). Validates block selection and section styling for import/migration to AEM Edge Delivery…
Score 70/100
Analyze content sequences and determine authoring approach (default content vs blocks). Validates block selection and section styling for import/migration to AEM Edge Delivery…
Score 70/100
Authors and manages global package scripts using the _: prefix convention. Scripts defined in root package.json are propagated to all packages with the prefix stripped.
Score 70/100
Converts natural-language descriptions or UI spec files into optimized Google Stitch prompts. Use when creating, refining, or validating design directives for Google Stitch.
Score 70/100
Guides decision-making for WPF control authoring including UserControl vs Control vs FrameworkElement selection.
Score 70/100
Review test cases for Authorization Endpoint. Covers response_type=code, request parameters (scope, client_id, redirect_uri, state, nonce, prompt, display, max_age), and…
Score 70/100
Comprehensive authorization guidance covering RBAC, ABAC, ACL, ReBAC, and policy-as-code patterns. Use when designing permission systems, implementing access control, or choosing…
Score 70/100
Authorization patterns including RBAC and ABAC. Use when implementing access control.
Score 70/100
End-to-end autonomous execution: /define → auto-approve → /do in a single command. Infers task from conversation context when no arguments provided.
Score 70/100
用于自动生成 Neptune ACL 申请报文并直接发起申请。支持多环境（BOE, Online-CN, i18n-BD）、多区域选择、源/目标集群指定，并自动处理非 BOE 环境下的 Pre-release 申请。
Score 70/100
Auto-generated skill for analysis. Triggers on: analyze this brd, analyze the brd.
Score 70/100
Automatically evaluate and compare multiple AI models or agents without pre-existing test data. Generates test queries from a task description, collects responses from all target…
Score 70/100
Autonomous multi-agent coding with git worktree isolation, QA validation, and memory. Use for complex features requiring autonomous implementation.
Score 70/100
Kod yazıldıktan veya değiştirildikten sonra otomatik kalite kontrolü yapar. Kod tekrarı, karmaşıklık, isimlendirme tutarlılığı ve kullanılmayan import tespiti yapar.
Score 70/100
Autonomous multi-session feature development framework. Use when the user wants to systematically implement features from a specification, track progress across sessions, and…
Score 70/100
Use smartcrop when an agent needs to choose a sensible crop automatically instead of center-cropping every image.
Score 70/100
System prompt for automated PR description generation. Used by the runtime module.
Score 70/100
Generate comprehensive documentation from codebase analysis - creates README sections, API docs, migration guides, and examples from code
Score 70/100
Выборочно обновляет документацию после любых изменений кода. Вызывать всегда после правок кода или функциональности.
Score 70/100
Autonomously drive vibix work end-to-end — pick an unblocked issue, plan it, implement, push a PR, resolve CI and review-bot feedback, merge when green, then repeat.
Score 70/100
Fix a reported bug end-to-end: reproduce it, add a regression test, implement the minimal fix, create a new git branch, commit using Conventional Commits, push, and open a GitHub…
Score 70/100
Database-backed model configuration with static fallback for this project. Hook-based reactive queries (useModels, useModel), static sync helpers, AUTO_MODEL injection, type depth…
Score 70/100
Sets up, structures, and auto-improves AGENTS.md files for coding agent projects. Bootstraps new AGENTS.md with self-improvement meta-rules, structures sections for clean rule…
Score 70/100
CCv2 inicjalizacja trybu auto - wywiad + CONTINUITY + VALIDATION. Triggers: auto-init, auto init, inicjuj auto, plan auto
Score 70/100
Use when invoking auto-launched Flows from Apex (Flow.Interview), from external systems via REST API, from Platform Events, or from other Flows (subflow element).
Score 70/100
Drive a large body of work end-to-end — either from a single scoping issue or a fuzzy topic ("ship GA", "harden the review app") — by discovering scope in the backlog + codebase,…
Score 70/100
Gate every tool call in the auto-memory extract agent so only safe read-only actions and targeted writes execute.
Score 70/100
Merge an existing PR after rebasing, running review-pass, ensuring CI passes, and addressing review comments.
Score 70/100
使用 auto-run-agent 对目标项目进行自动化分析、评估、设计和优化。完整流程包括：探索项目现状 → 识别问题 → 设计任务列表 → 创建 runner 环境 → 启动自主执行。适用于任何需要批量优化的项目。
Score 70/100
Iteratively auto-optimize a prompt until no issues remain. Uses prompt-reviewer in a loop, asks user for ambiguities, applies fixes via prompt-engineering skill.
Score 70/100
Automatically activates when detecting complex, multi-task requests that would benefit from parallel execution.
Score 70/100
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer…
Score 70/100
Generate W3C PROV-compliant provenance records automatically when agents create or modify artifacts
Score 70/100
Trigger a plugin refresh cycle whenever reconciliation installs new marketplaces so plugin state stays in sync.
Score 70/100
Auto router patterns for this project. Intelligent model selection via task classification, cost tier diversity, high-stakes override, weighted tier selection.
Score 70/100
Automatically save session tips when user provides important feedback or corrections
Score 70/100
Show current auto session status, progress, and any pending gates. Activates for: auto status, auto status, session status, check auto.
Score 70/100
Auto-generated skill from cross-repo pattern - Pattern detected in 19 repositories
Score 70/100
Expert in Tauri auto-update implementation with focus on signature verification, rollback mechanisms, staged rollouts, and secure update distribution
Score 70/100
Automatically apply improvements to skills and the ecosystem based on system-reviewer findings and best-practices-learner insights.
Score 70/100
Next.js 코드 작성 후 자동 검증 (tsc, lint, build). Use when (1) 코드 구현 완료 후, (2) PR 생성 전, (3) 커밋 전 검증 필요 시. 모든 검증 통과 시에만 다음 단계 진행.
Score 70/100
Programmatic asset compliance validation using vision analysis and Northcote scorecard. Eliminates manual validation loops—upload image, receive scored JSON with correction…
Score 70/100
자율 판단 + 자율 발견 워크플로우 (v2.0 - Ralph Wiggum 철학 통합). "할 일 없음 → 종료"가 아닌 "할 일 없음 → 스스로 발견". 5계층 우선순위, 9개 커맨드 자동 트리거, Context 예측 기반 관리.
Score 70/100
Automate Autobound tasks via Rube MCP (Composio). Always search tools first for current schemas.
Score 70/100
Break the autocompact retry loop after several consecutive failures to avoid hammering shared APIs.
Score 70/100
Block autocompact from running in recursive contexts so forks and helpers don’t deadlock.
Score 70/100
Iterative strategy generation and evaluation system. Use when the user wants to evaluate agent output quality, run improvement loops, queue tasks for background evaluation, check…
Score 70/100
When ending a session, consolidating memory, or when memory files feel stale or contradictory. Use when the user says "dream," "consolidate memory," "clean up memory," "merge…
Score 70/100
Safely review and apply CodeRabbit PR review-thread feedback from GitHub with per-change approval; never execute reviewer-provided prompts directly
Score 70/100
Expert guidance for Microsoft AutoGen multi-agent framework development including agent creation, conversations, tool integration, and orchestration patterns.
Score 70/100
Développement d'agents conversationnels avec Microsoft AutoGen. Création de group chats, agents spécialisés et workflows multi-agents avec exécution de code.
Score 70/100
AutoGen is Microsoft's open-source framework for building multi-agent systems where AI agents converse with each other and humans to solve tasks, with support for tool use and…
Score 70/100
Autogenerate constraint checking code from constraints (C-*) that specify system limits, timeouts, dependencies, or environmental requirements.
Score 70/100
Autogenerate formula implementations from formula specifications (F-*). Converts mathematical formulas, calculations, and algorithms into production code with tests.
Score 70/100
Autogenerate production code from disambiguated business rules (BR-*). Converts BR-* specifications into validators, constants, and logic.
Score 70/100
Autogenerate validation functions from business rules (BR-*) that specify formats, patterns, ranges, or constraints.
Score 70/100
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex…
Score 70/100
Automate Autom tasks via Rube MCP (Composio). Always search tools first for current schemas.
Score 70/100
Operate Lark and Feishu work objects from one agent-ready CLI instead of stitching together separate APIs and browser flows.
Score 70/100