Skills from clawhub.ai/killerapp

Provides tooling to deploy LangGraph multi-agent systems on AWS Bedrock AgentCore, including CLI commands, Python examples, and executable scripts. Contains executable shell scripts (e.g., `./tail-logs.sh`) that run `aws` commands, reads/exports env vars like `AWS_PROFILE` and `BEDROCK_AGENTCORE_MEMORY_ID`, and makes network calls (e.g., `http://localhost:8080/invocations`).

This skill generates BAML `.baml` code, tests, and language clients by querying MCP/GitHub patterns and producing project artifacts. It instructs network calls (`mcp__baml_Examples__fetch_baml_examples_code`, `https://github.com/BoundaryML/baml-examples/blob/main/invoice_extractor.baml`), uses env API keys like `OPENAI_API_KEY`, and runs shell commands such as `baml-cli generate`.

Iteratively densify text summaries using Chain-of-Density technique. Use when compressing verbose documentation, condensing requirements, or creating executive summaries while preserving information density.

Adversarial implementation review based on Block's g3 dialectical autocoding research. Use when validating implementation completeness against requirements with fresh objectivity.

The skill provides UX and marketing copywriting guidelines and examples for buttons, errors, CTAs, emails, and component text. No security-relevant behaviors detected.

Compress verbose SKILL.md files using Chain-of-Density with skill-aware formatting. Use when a skill exceeds 200 lines or needs terse refactoring.

Create professional terminal recordings with VHS tape files - guides through syntax, timing, settings, and best practices

Provides templates, documentation, and runnable helper scripts for creating and validating Agent Skills. Contains executable shell commands (e.g., `uvx --from git+https://github.com/agentskills/agentskills#subdirectory=skills-ref`) and scripts that modify files such as `plugins/${plugin}/.claude-plugin/plugin.json`, enabling local execution and external network fetches.

This skill provides PARA-based PKM tooling and documentation and includes scripts to scaffold, validate, generate AI navigation, and archive knowledge bases. It contains runnable instructions to execute `python` scripts (e.g., `python scripts/init_para_kb.py`, `python archive_project.py`) that create, modify, and delete files under `projects/active/` and `archives/`.