rlm
Process files too large to fit in context (>100KB, >2000 lines). Uses Python REPL for structural analysis, LLM queries for semantic reasoning, and subagents for final synthesis. Triggers - large file, big docum...
浏览 Whamp 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
14收录技能的仓库 Stars 合计
28仓库 Forks
12平均每个技能的仓库 Stars
2同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Process files too large to fit in context (>100KB, >2000 lines). Uses Python REPL for structural analysis, LLM queries for semantic reasoning, and subagents for final synthesis. Triggers - large file, big docum...
Comprehensive PocketBase development and deployment skill providing setup guides, schema templates, security patterns, API examples, data management scripts, and real-time integration patterns for building back...
This skill should be used when the user asks to "set up MailHog", "test email functionality", "configure MailHog", "send test emails", "check MailHog messages", "configure SMTP testing", or "manage email captur...
Use the gemini-cli-integration skill PROACTIVELY when analyzing large codebases, multiple files, or directories. Leverages Google Gemini's massive context window with @ syntax for file inclusion to handle compr...
This skill should be used when the user asks to "add fields to PocketBase collection", "modify PocketBase schema", "add new collection fields", "update PocketBase collection", "PocketBase JavaScript SDK API", "...
Lightweight Chrome automation toolkit with shared configuration, JSON-first output, and six focused scripts for starting, navigating, inspecting, capturing, evaluating, and cleaning up browser sessions.
Combine findings from parallel intelligence gathering into unified execution plan. Synthesize predictions, web research, deep strategy, and environment observations into optimal approach. Use when multiple inte...
Analyze tasks upfront before execution. Predict task category, identify key files, assess risk level, and detect high-consequence operations. Use proactively when any task description is provided to guide execu...
Multi-round web search with low-frequency query generation. Prioritize GitHub/StackOverflow for actionable code, extract AI Overview insights, and perform deep link analysis. Use proactively for complex problem...
Generate comprehensive multi-approach strategies before execution. Extract domain knowledge, create alternative approaches, identify failure modes, and develop risk-aware plans. Use proactively for complex task...
Perform heuristic environment discovery beyond basic directory listing. Check installed packages, analyze folder structure, inspect running processes, and assess system state. Use proactively when starting new...
Handle common execution failures with specialized recovery strategies. Fix syntax errors, import/dependency issues, path/file problems, permission denial, and connection timeouts. Use proactively when encounter...
Prevent premature task completion by checking for parsing errors, execution failures, incomplete test results, and missing expected outputs. Acts as final quality gate before declaring tasks complete. Use proac...
Context-driven development with spec-driven workflows, TDD-based task execution, track management, and phase checkpointing
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。