Topic: agents
2,643 skills in this topic.
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
chromium-debug-use
Attach to a user's already-open Chromium-family browser for live inspection and light interaction after explicit local approval
marcusquinn/aidevops 172
-
pageindex
PageIndex - Vectorless reasoning-based RAG for document retrieval
marcusquinn/aidevops 172
-
code-review
Review code for quality, maintainability, and correctness
PrefectHQ/fastmcp 24,481
-
pdf-processing
Extract text from PDFs, fill forms, and merge documents
PrefectHQ/fastmcp 24,481
-
fastmcp-client-cli
Query and invoke tools on MCP servers using fastmcp list and fastmcp call. Use when you need to discover what tools a server offers, call tools, or integrate MCP servers into workflows.
PrefectHQ/fastmcp 24,481
-
review-pr
Monitor and respond to automated PR reviews (Codex bot). Use when pushing a PR, checking review status, or responding to bot feedback. Handles the full cycle of push -> wait for review -> evaluate comments -> fix -> re-push.
PrefectHQ/fastmcp 24,481
-
reviewing-code
Review code for quality, maintainability, and correctness. Use when reviewing pull requests, evaluating code changes, or providing feedback on implementations. Focuses on API design, patterns, and actionable feedback.
PrefectHQ/fastmcp 24,481
-
testing-python
Write and evaluate effective Python tests using pytest. Use when writing tests, reviewing test code, debugging test failures, or improving test coverage. Covers test design, fixtures, parameterization, mocking, and async testing.
PrefectHQ/fastmcp 24,481
-
runtime-behavior-probe
Plan and execute runtime-behavior investigations with temporary probe scripts, validation matrices, state controls, and findings-first reports. Use only when the user explicitly invokes this skill to verify actual runtime behavior beyond normal code-level checks, especially to uncover edge cases, undocumented behavior, or common failure modes in local or live integrations. A baseline smoke check is fine as an entry point, but do not stop at happy-path confirmation.
openai/openai-agents-python 20,562
-
final-release-review
Perform a release-readiness review by locating the previous release tag from remote tags and auditing the diff (e.g., v1.2.3...<commit>) for breaking changes, regressions, improvement opportunities, and risks before releasing openai-agents-python.
openai/openai-agents-python 20,562
-
pr-draft-summary
Create the required PR-ready summary block, branch suggestion, title, and draft description for openai-agents-python. Use in the final handoff after moderate-or-larger changes to runtime code, tests, examples, build/test configuration, or docs with behavior impact; skip only for trivial or conversation-only tasks, repo-meta/doc-only tasks without behavior impact, or when the user explicitly says not to include the PR draft block.
openai/openai-agents-python 20,562
-
openai-knowledge
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.
openai/openai-agents-python 20,562