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Found 111 Skills
Use when the user wants a quality review, interaction audit, or to test the workflow against realistic scenarios.
Use the harem hierarchical code review system to output structured review conclusions based on the division of labor among the Empress, Four Consorts, and Nine Imperial Concubines
Detects common LLM coding agent artifacts by spawning 4 parallel subagents
Comprehensive Go backend code review with optional parallel agents
This skill should be used when the user asks to "validate a plugin", "optimize plugin", "check plugin quality", "review plugin structure", or mentions plugin optimization and validation tasks.
Detect common code smells and anti-patterns providing feedback on quality issues a senior developer would catch during review. Use when user opens/views code files, asks for code review or quality assessment, mentions code quality/refactoring/improvements, when files contain code smell patterns, or during code review discussions.
Automatically detect code quality issues and provide improvement recommendations
Review code for performance: complexity, database/query efficiency, I/O and network cost, memory and allocation behavior, concurrency contention, caching, and latency/throughput regressions. Cognitive-only atomic skill; output is a findings list.
Evaluate skill quality against best practices. Use when asked to "rate this skill", "review skill quality", "check skill formatting", "is this skill good", "evaluate SKILL.md", "grade this skill", or when validating skill files before publishing.
Defines evaluation criteria and scoring methodologies for deliverable assessment
Evaluate, optimize, and enhance prompts using 58 proven prompting techniques. Use when user asks to improve, optimize, or analyze a prompt; when a prompt needs better clarity, specificity, or structure; or when generating prompt variations for different use cases. Covers quality assessment, targeted improvements, and automatic optimization across techniques like CoT, few-shot learning, role-play, and 50+ more.
Audit installed skills across project, global, and plugin levels. Lists skills with line counts, identifies improvement opportunities (conciseness, clarity, overlap, token waste). Use when reviewing skill quality, finding bloated skills, or optimizing token budgets.