jasonmichaelbell78-creator

Structured discovery-first planning for complex tasks. Ask exhaustive categorized questions, build a standalone decision record, then produce a step-by-step implementation plan with audit checkpoints and convergence-loop verification of diagnosis and plan claims for user approval before any code is written.

Multi-agent research engine that decomposes questions, dispatches parallel searcher agents, synthesizes findings with citations and confidence levels, runs mandatory contrarian/OTB challenges, gap-pursuit verification, and cross-model verification via Gemini CLI, and produces structured output with downstream adapters, research index, and management commands.

Pre-flight checklist for work sessions — loads context, runs health scripts, surfaces warnings, and gates on acknowledgment before work begins.

PR Review Retrospective -- actionable analysis of a PR's review cycle with convergence-loop deliverable verification, interactive findings walkthrough, and dashboard for missing retros

Process external PR code review feedback (CodeRabbit, Qodo, SonarCloud, Gemini) through a structured 8-step protocol. Parses all items, categorizes by severity and origin, fixes in priority order, tracks deferred items to TDMS, and captures learnings. This skill processes review feedback — it does not generate reviews.

Query the Content Analysis System (CAS) knowledge base. Search extraction candidates, filter by tags/type/source, search across all analyzed sources.

Content analysis for documents — PDFs, gists, articles, markdown, arxiv papers, code snippets, meeting notes. Dual-lens (Creator View + Engineer View). Two user-invokable depths (Standard / Deep); Quick Scan is triage- only. Outputs to .research/analysis/<doc-slug>/.

Content analysis for video and audio — YouTube, TikTok, podcasts, audio files. Transcription-first pipeline (captions API, user transcript, or Whisper opt-in). Dual-lens (Creator View + Engineer View). Two user- invokable depths (Standard / Deep); Quick Scan is triage-only. Outputs to .research/analysis/<media-slug>/.

Run a single-session AI optimization audit on the codebase

Run a single-session code review audit on the codebase

Run a single-session engineering productivity audit on the codebase

Run a comprehensive enhancement audit across the entire project - code, product, UX, content, workflows, infrastructure, external services, and meta-tooling.

Run a single-session performance audit on the codebase

Run a comprehensive multi-stage automation audit with parallel agents

Run a single-session refactoring audit on the codebase

Run a single-session security audit on the codebase

Dual-lens repo analysis: Creator View (knowledge, insights, home-repo comparison) + Engineer View (health, security, process). Two user-invokable depths (Standard / Deep); Quick Scan is triage-only. Link mining for curated lists. Fit separation via dual scoring lenses. Outputs to .research/analysis/<repo-slug>/.

Structured discovery-first planning for complex tasks. Ask exhaustive categorized questions, build a standalone decision record, then produce a step-by-step implementation plan with audit checkpoints and convergence-loop verification of diagnosis and plan claims for user approval before any code is written.

Interactive behavioral quality audit for individual skills. Evaluates against 12 quality categories (including T25 convergence loop and completion verification) to surface attention management issues and produce actionable decisions. Includes self-audit verification that all decisions were actually implemented. Uses convergence loops in its own discovery phase. Produces a decision record and updated skill files.

Structured workflow for creating or updating skills — from discovery through validation and audit. Produces structurally correct, behaviorally effective skill packages (SKILL.md + companions) using deep-plan-style discovery with skill-specific question categories and convergence-loop verification of codebase claims.

Audit + refresh the JASON-OS / SoNash label catalogs. Dispatches primary + secondary derivation agents in byte-weighted batches, cross-checks their output, and presents drift / low-confidence / disagreement findings for conversational resolution (D12a). Supplementary skill per D4 + D19 — catalogs remain correct via the PostToolUse hook (§S3) + pre-commit validator (§S6) even if this skill is never invoked.

Multi-agent research engine that decomposes questions, dispatches parallel searcher agents, synthesizes findings with citations and confidence levels, runs mandatory contrarian/OTB challenges, gap-pursuit verification, and cross-model verification via Gemini CLI, and produces structured output with downstream adapters, research index, and management commands.

Session closure pipeline — context preservation, optional compliance review, and final commit. Ensures the next session starts with accurate context. v0: Foundation-scoped; Phase 3 metrics pipeline and most Phase 2 compliance steps are gated on Layer 2 hooks landing.

Pre-flight checklist for work sessions — loads context, checks hook state, surfaces warnings, and gates on acknowledgment before work begins.