ClosedLoop.ai
Official@closedloop-ai · Austin, TX
ClosedLoop
Agent Skills by ClosedLoop.ai
Showing 21 vetted skills indexed across 1 GitHub repositories.
closedloop-aimermaid-visualizer
Generate Mermaid diagrams for flowcharts, sequence diagrams, and state diagrams.
closedloop-aiclaude-code-expert
Document Claude Code extensibility with agents, skills, commands, and plugins.
closedloop-aiupload-artifact
Upload files as versioned artifacts to the ClosedLoop platform.
closedloop-aicontext-engineering
Guide prompt engineering for Claude with XML tagging and reasoning patterns.
closedloop-aiskill-creator
Create new AI skills with SKILL.md templates and directory structures.
closedloop-aiprd-creator
Create Product Requirements Documents through guided conversational workflows and structured templates.
closedloop-aiiterative-retrieval
Refine sub-agent queries through a structured 4-phase protocol with follow-up questions.
closedloop-aicritic-cache
Hash plan and critic configuration files to validate review freshness.
closedloop-aiclosedloop-env
Provide ClosedLoop environment variables and construct file paths for agents.
closedloop-aibuild-status-cache
Compare git diff hashes to skip redundant build validations.
closedloop-aiplan-editing-conventions
Enforce formatting and structure conventions when editing plan.json files.
closedloop-aicross-repo-cache
Validate cached cross-repo coordinator results by comparing peer repository git hashes.
closedloop-aiplan-validate
Validate plan.json files for schema compliance and structural consistency.
closedloop-aiextract-plan-md
Synchronize markdown content from a JSON plan file to a markdown file.
closedloop-aifind-plugin-file
Locate files in the Claude Code plugins cache by latest version.
closedloop-aiplan-structure
Generate structured implementation plans with acceptance criteria and task breakdowns.
closedloop-aieval-cache
Check for a valid cached plan evaluation before running a new one.
closedloop-airun-judges
Orchestrate parallel AI judge agents to evaluate implementation plans and code artifacts.
closedloop-aiartifact-type-tailored-context
Compress artifacts into token-budgeted summaries with type-specific strategies.
closedloop-ailearning-quality
Capture and generalize actionable learnings from AI agent operations.
closedloop-aitoon-format
Parse and generate TOON data, converting between JSON and TOON formats.
Frequently Asked Questions About ClosedLoop.ai
FAQPage SchemaWhat specific tasks can I perform using these capabilities?▼
You can generate Mermaid diagrams, validate plan.json schema compliance, manage versioned artifacts, and orchestrate parallel judge evaluations. These functions enable structured implementation planning, cross-repository cache validation, and the conversion of data between JSON and TOON formats for consistent project documentation.
Which personas benefit most from these technical capabilities?▼
Software architects, technical leads, and systems engineers benefit from these capabilities. The platform is designed for those managing complex implementation plans, requiring strict schema validation for project files, and needing to maintain cache integrity across multiple repositories during development cycles.
What are the prerequisites for implementing these functions?▼
Implementation requires a environment configured with ClosedLoop variables and access to the specific directory structures defined by the SKILL.md templates. Users must ensure their repository environment supports git hash tracking to utilize the build status and cross-repo caching features effectively.