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...
Browse published AI skills maintained by Whamp. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
14Repository stars across indexed skills
28Repository forks
12Average repository stars per indexed skill
2Repository stars may repeat across skills from the same repository.
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
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.