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Found 283 Skills
Unified setup entrypoint for install, diagnostics, and MCP configuration
Systematic pre-publication manuscript audit producing a structured refactoring report with section-level diagnostics, citation hygiene analysis, and submission-readiness assessment. Use this skill whenever the user uploads a manuscript, paper, thesis chapter, journal submission, or conference paper and asks for review, feedback, editing, refactoring, pre-submission check, proofreading, or quality audit. Also trigger when the user says "review my paper", "check before submission", "is this ready to submit", "pre-pub checklist", "manuscript review", "refactor my paper", or asks about citation consistency, argument coherence, or formatting compliance. Covers partial requests like "check my references" or "does the abstract work" — the full diagnostic surfaces issues across all facets even when only one was asked about.
Use when ANY iOS build fails, test crashes, Xcode misbehaves, or environment issue occurs before debugging code. Covers build failures, compilation errors, dependency conflicts, simulator problems, environment-first diagnostics.
Startup diagnostic router. Use FIRST when a founder doesn't know where to start, has multiple overlapping problems, or asks a vague question like 'what's wrong with my startup', 'why aren't people buying', 'what should I focus on', 'where do I even begin', 'nothing is working'. Routes to the right framework from the 14 available skills — or tells you when no framework fits and you just need to go talk to people. This is the entry point. Use it before reaching for any specific skill.
macOS menu bar app that identifies USB-C cable capabilities and charging diagnostics using IOKit
Buffett-style single-stock moat diagnostic — "Would Buffett buy this stock?" Five dimensions: business & moat / financial health / management & capital allocation / valuation & margin of safety / long-term visibility. Data from Longbridge CLI first, MCP fallback, WebSearch only for gaps. Runs cross-statement reconciliation (勾稽校验) BEFORE scoring; data-source appendix closes with a one-line reconciliation summary. Output: star-rated radar card, dimension detail, Buffett-voice narrative, mandatory holding-period education block. Triggers: "巴菲特", "护城河", "巴菲特会买吗", "价值投资", "好生意", "宽护城河", "定价权", "诊股", "巴菲特诊股", "巴菲特视角", "长期持有", "護城河", "巴菲特會買嗎", "價值投資", "寬護城河", "定價權", "診股", "巴菲特診股", "巴菲特視角", "長期持有", "Buffett", "Warren Buffett", "moat", "economic moat", "wide moat", "pricing power", "value investing", "owner earnings", "would Buffett buy", "Berkshire-style", "quality compounder".
Guides architects on when and how to use goal-seeking agents as a design pattern. This skill helps evaluate whether autonomous agents are appropriate for a given problem, how to structure their objectives, integrate with goal_agent_generator, and reference real amplihack examples like AKS SRE automation, CI diagnostics, pre-commit workflows, and fix-agent pattern matching.
Collects the current project's Module Federation context (MFContext) and outputs a structured summary. Serves as the data foundation for all MF diagnostic Skills; can also be called standalone to quickly understand the project's MF configuration.
Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Takes CSV or pasted data, runs statistical analysis, and produces a diagnostic report with action items.
Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.
codeck entry point. Scans local files for materials, shows pipeline dashboard with diagnostic intelligence, guides user to the next step. Use when the user says "codeck", "new deck", "make a presentation", "make a deck", "new slides", "build a presentation", or wants to start a new presentation project from scratch. Do NOT trigger for specific sub-tasks like designing, reviewing, exporting, or writing speeches — those have dedicated skills.
Optimizer that refines and professionalizes AI agent skills through real usage — saves tokens, eliminates redundancy, and tightens instructions so skills cost less to run. Learns from mistakes, reviews quality, and improves over time. Observes skill execution in the current conversation, analyzes up to four sources (conversation friction, file diffs, user feedback, static diagnostic) plus accumulated lessons, and proposes concrete improvements to the target skill's SKILL.md. Works with Claude Code and compatible SKILL.md-based agent frameworks. Use after executing any skill: `/skill-optimizer [name]` or `/skill-optimizer` to auto-detect. `--review` processes accumulated lessons.