Agent Skills by wtthornton
Showing 31 vetted skills indexed across 3 GitHub repositories.
wtthorntontapps-brain-memory
Persist OpenClaw agent memories across sessions with BM25 ranking and exponential decay.
wtthorntonralph-research
Survey a codebase and emit a structured summary of related files, reusable code, tests, and dependencies.
wtthorntontapps-report
Generate quality reports with scores and top issues for Python files.
wtthorntontapps-gate
Run the tapps quality gate and report pass/fail with failing criteria.
wtthorntontapps-tool-reference
Document TappsMCP tool usage rules and examples for session workflows.
wtthorntontapps-engagement
Set TappsMCP engagement levels to control mandatory quality tools.
wtthorntontapps-research
Retrieve library documentation and best practices for project technologies.
wtthorntontapps-review-pipeline
Coordinate parallel review-fix-validate workflows across changed files using Git worktrees.
wtthorntontapps-validate
Validate changed files against per-file quality thresholds before completion.
wtthorntonralph-workflow
Enforce per-loop execution contracts with RALPH_STATUS blocks for the Ralph workflow.
wtthorntontapps-security
Scan target files for vulnerabilities and check dependencies for CVEs.
wtthorntontapps-apply-files
Apply file manifests from MCP content-return to create, overwrite, or merge files.
wtthorntontapps-memory
Store and retrieve cross-session project memories with relevance ranking and Hive federation.
wtthorntonralph-loop
Read fix_plan.md, apply the first unchecked task, verify, and commit.
wtthorntontapps-score
Score Python files across seven quality categories and output prioritized improvements.
wtthorntontapps-init
Bootstrap TappsMCP to generate AGENTS.md, TECH_STACK.md, and MCP config.
wtthorntonexample-custom-skill
Generate code from specifications within the TappsCodingAgents framework.
wtthorntonreviewer
Score Python code across complexity, security, maintainability, test coverage, and performance.
wtthorntonanalyst
Gathers requirements, maps stakeholders, identifies risks, and estimates effort from feature descriptions.
wtthorntonenhancer
Enhance prompts with requirements, architecture guidance, and quality thresholds.
wtthorntondocumenter
Generate API documentation, READMEs, and docstrings in Markdown, reStructuredText, and HTML.
wtthorntonplanner
Creates user stories, epics, and tasks with Fibonacci point estimates.
wtthorntonimprover
Refactor legacy code and optimize performance while preserving functionality.
wtthorntonimplementer
Translate feature specifications into production-ready code with Context7 library checks.