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Agent skills
mcp-servers

Topic: mcp-servers

73 skills in this topic.

pdf-processing Extract text from PDFs, fill forms, and merge documents
PrefectHQ/fastmcp 24,481
code-review Review code for quality, maintainability, and correctness
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
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
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
dsql Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when developing a scalable or distributed database/application or user requests DSQL.
awslabs/mcp 8,655
amazon aurora dsql Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when developing a scalable or distributed database/application or user requests DSQL.
awslabs/mcp 8,655
aurora dsql Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when developing a scalable or distributed database/application or user requests DSQL.
awslabs/mcp 8,655
aws dsql Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when developing a scalable or distributed database/application or user requests DSQL.
awslabs/mcp 8,655
distributed postgres Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when developing a scalable or distributed database/application or user requests DSQL.
awslabs/mcp 8,655
distributed sql Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when developing a scalable or distributed database/application or user requests DSQL.
awslabs/mcp 8,655
agentcore-investigation Investigate Bedrock AgentCore runtime sessions via CloudWatch Logs Insights — resolve session/trace IDs, query OTEL spans, filter noise, build timelines. Use when debugging AgentCore agent sessions, tracing tool calls, or analyzing latency.
awslabs/mcp 8,655
b00t
elasticdotventures/_b00t_ 12
executive-role Defines the shared role, responsibilities, and operating principles for an Executive agent in the b00t hive. This skill uses Rhai scripting to provide model-specific directives.
elasticdotventures/_b00t_ 12
dry-philosophy Don't Repeat Yourself (DRY) and Never Reinvent the Wheel (NRtW) - core b00t principles. Use existing libraries, leverage Rust via PyO3 instead of duplicating logic in Python, and contribute to upstream projects rather than fork privately.
elasticdotventures/_b00t_ 12
direnv-pattern Implements the b00t environment management pattern: direnv → .envrc → dotenv → .env where datums specify WHICH environment variables are required and .env contains the actual secret VALUES. Ensures automatic environment loading per-project.
elasticdotventures/_b00t_ 12
datum-system Helps work with the b00t datum system - TOML-based configuration for AI models, providers, and services. Datums are stored in ~/.dotfiles/_b00t_/ and specify WHICH environment variables are required (not the values). Enables DRY approach by centralizing configuration in Rust, exposed to Python via PyO3.
elasticdotventures/_b00t_ 12
aws-cli CLI-first AWS orchestration skill for Lambda, ECS/Fargate, and S3 workflows rooted in `.☁️` runbooks.
elasticdotventures/_b00t_ 12
next-task End-to-end task pipeline. Discovers the next task, plans, implements, reviews with certainty-graded quality gates, then ships. Resumable via git state.
elasticdotventures/_b00t_ 12
model-routing Select the right model for the task. Maps task cognitive tier to optimal model. Reads _b00t_ datums for available models. Prefer local/cheap for deterministic work; frontier for reasoning.
elasticdotventures/_b00t_ 12
drift-detect Detect documentation-code drift. Deterministic collection (grep/AST) feeds a single LLM semantic analysis call. Reports mismatches with certainty grades.
elasticdotventures/_b00t_ 12
deslop Remove AI-generated artifacts from code. Three-phase certainty-graded cleanup. Use after any AI implementation session or before PR creation.
elasticdotventures/_b00t_ 12
code-quality Validate code quality using certainty-graded rules. Detect AI artifacts, anti-patterns, and b00t violations. Reports auto-fixable vs review-required findings.
elasticdotventures/_b00t_ 12
certainty-grade Apply HIGH/MEDIUM/LOW certainty grading to all agent findings and recommendations. Use to gate human review, auto-fix, or autonomous action.
elasticdotventures/_b00t_ 12