idealic-ai
Official@idealic-ai
Offers structured protocol management, technical documentation refinement, and research orchestration for complex software development lifecycles.
Agent Skills by idealic-ai
Showing 21 vetted skills indexed across 1 GitHub repositories.
suggest
Analyze code and documentation to identify actionable improvements.
research
Refine questions, post requests to Gemini Deep Research, and generate structured reports.
chores
Automate routine maintenance and cleanup tasks from a structured task queue.
test
Design and write test cases for code correctness and regression prevention.
evangelize
Summarize completed work into stakeholder debriefs with EVANGELISM.md reports.
refine-docs
Refine project documentation for clarity, accuracy, and structure.
brainstorm
Facilitate structured ideation and trade-off analysis for architecture decisions.
reanchor
Re-register Claude Code sessions and resume from saved phase after context overflow.
document
Aligns project documentation with code changes through a phase-driven workflow.
review
Audit debriefs, logs, and templates against defined standards.
edit-skill
Scaffold or edit Claude Skill definitions with standardized SKILL.md protocols.
implement
Enforce structured protocol packs to guide feature implementation phases and artifact generation.
analyze
Deliverable: A comprehensive PDF report summarizing your findings.
refine
Guide iterative prompt and schema refinement for LLM extraction workloads.
share-skill
Promote a project-local skill to the shared engine on Google Drive.
writeup
Creates situational writeups for project contexts in docs/writeups folders using frontmatter templates.
research-respond
Retrieve completed Gemini Deep Research results and update original requests.
research-request
Post a scoped research request to Gemini Deep Research for async fulfillment.
summarize-progress
Aggregate session data into a narrative progress report saved to reports/PROGRESS_SUMMARY_[YYYY_MM_DD].md.
dehydrate
Capture active session context into a portable snapshot for later restoration.
debug
Organize end-to-end debugging sessions with a phase-driven protocol and diagnostic modes.
Frequently Asked Questions About idealic-ai
FAQPage SchemaWhat specific tasks can I perform using idealic-ai?▼
You can manage project documentation, design regression test cases, orchestrate deep research requests, and capture session snapshots. The system facilitates phase-driven implementation protocols, ensuring that code changes remain aligned with project standards and that progress is consistently summarized into structured narrative reports.
Which personas benefit most from these capabilities?▼
Software engineers, technical leads, and project managers benefit from these capabilities. The system is designed for developers who require rigorous session management, documentation synchronization, and structured reporting to maintain velocity during complex, multi-phase feature implementation and debugging cycles.
What are the prerequisites for running these protocols?▼
Users require an active environment configured for Claude Code and access to Google Drive for skill sharing. The system relies on local project directories, specifically folders designated for documentation, writeups, and progress reports, to maintain state and store generated artifacts.