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Topic: rag

499 skills in this topic.

power-inversion Unified negotiation engine: BATNA mapping, Dignity Premium pricing, and commitment device protection. Absorbs: commitment-device.
winstonkoh87/Athena-Public 456
Red-Team Review Bias-aware adversarial review for any artifact before shipping. 5-phase QA protocol with severity-weighted findings.
winstonkoh87/Athena-Public 456
Deep Research Loop Multi-step web research, compilation, and synthesis workflow. Scrapes multiple sources, cross-references claims, and produces a structured research brief.
winstonkoh87/Athena-Public 456
semantic-search Executes exact Exocortex embeddings lookup for internal libraries. Wraps smart_search.py.
winstonkoh87/Athena-Public 456
statistical-analysis Structured pipeline for statistical analysis deliverables — SPSS, R, Python. Covers reliability, chi-square, correlation, regression, assumption checking, and client-ready reporting.
winstonkoh87/Athena-Public 456
synthetic-parallel-reasoning Automates Protocol 75 v4.0, forcing 4 parallel external API calls (Domain Expert, Adversarial Skeptic, Cross-Domain Pattern Matcher, Zero-Point First Principles) with an Adversarial Convergence Gate. The 'Einstein Protocol' application.
winstonkoh87/Athena-Public 456
academic-delivery 8-step pipeline for academic deliverables — essays, reports, analysis, capstones. Encodes the full intake-to-delivery workflow with automatic red-team triggering.
winstonkoh87/Athena-Public 456
context-compactor 9-section context compression with analysis scratchpad. Adapted from Claude Code's /compact system (2026-03-31).
winstonkoh87/Athena-Public 456
trade-journal-analyzer Unified post-trade analytics: journal pattern extraction + drawdown classification. Absorbs: drawdown-classifier.
winstonkoh87/Athena-Public 456
Code Consistency - Logging & Standards Check Python logging levels and patterns for correctness. Focus on identifying wrong severity levels and missing exception handling. Use when reviewing code quality.
taylorsatula/mira-OSS 441
contextvar-opportunity-finder Detect explicit user_id parameters in functions to identify potential opportunities for using ambient context. This is an investigation tool that flags instances for human review, not a prescriptive analyzer.
taylorsatula/mira-OSS 441
contextvar-remediation
taylorsatula/mira-OSS 441
fail-fast-no-hedging Eliminate component hedging anti-patterns that mask infrastructure failures. Build systems that fail loudly when broken instead of limping along in degraded states. Critical for production reliability and operational visibility.
taylorsatula/mira-OSS 441
Git Workflow DO NOT COMMIT unless user explicitly tells you to. Use this skill EVERY SINGLE TIME before creating a git commit. Provides mandatory commit message format, staging rules, and post-commit summary requirements for the MIRA project
taylorsatula/mira-OSS 441
investigate-dependencies Conduct thorough dependency audits to identify redundant code, unused features, and improper usage patterns. Examines each import to ensure we're leveraging existing capabilities rather than reinventing functionality.
taylorsatula/mira-OSS 441
Prompt Mastery Advanced LLM prompt engineering expertise for crafting highly effective prompts, system messages, and tool descriptions with Claude-specific techniques
taylorsatula/mira-OSS 441
Real Pytest - No Mocks, Real Tests Write pytests that test real public interfaces with actual components, no mocking, and precise assertions. MIRA-specific patterns. Use when creating or reviewing tests.
taylorsatula/mira-OSS 441
tool-builder
taylorsatula/mira-OSS 441
agent-browser Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
eosphoros-ai/DB-GPT 18,484
csv-data-analysis This skill should be used when users need to analyze CSV or Excel files, understand data patterns, generate statistical summaries, or create data visualizations. Trigger keywords include "analyze CSV", "analyze Excel", "data analysis", "CSV analysis", "Excel analysis", "data statistics", "generate charts", "data visualization", "分析CSV", "分析Excel", "数据分析", "CSV分析", "Excel分析", "数据统计", "生成图表", "数据可视化".
eosphoros-ai/DB-GPT 18,484
financial-report-analyzer 专门用于上市公司财报（如年度报告、季度报告）的深度分析。该技能能够自动提取关键财务指标，计算核心财务比率，生成可视化图表，并结合行业背景生成专业的财务分析报告。
eosphoros-ai/DB-GPT 18,484
skill-creator Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
eosphoros-ai/DB-GPT 18,484
walmart-sales-analyzer Analyze Walmart sales data to explore trends between store sales and unemployment rates. Generate insightful visualizations and a beautiful HTML report with deep analysis. Suitable for quick insights into the relationship between sales data and macroeconomic factors.
eosphoros-ai/DB-GPT 18,484
i18n-check 检查并补充前端和后端的i18n翻译文件。以中文（zh-CN）为基准，检查其他语言翻译文件是否缺少key，并补充缺失的key和对应的翻译值。对于日语(ja-JP)、韩语(ko-KR)、繁体中文(zh-TW)，使用与非CJK语言对比的方式检测未翻译内容。
zhimaAi/ChatClaw 245