Create voice profiles from writing samples.
Skills in this repository
notque/vexjoy-agent - Page 2
SkillsMP has collected 123 skills from notque/vexjoy-agent. Open a skill to review its source and details.
notque/vexjoy-agentShowing 40 of 123 collected skills.
Critique-and-rewrite loop for voice fidelity validation.
Design a CLI interface: args, flags, help, output, errors, exit codes, config.
Detect documentation drift against filesystem state.
Triage GitHub notifications and issue/PR queues.
Pull request lifecycle: commit, codex review, sync, review, fix, status, cleanup, and PR mining. Use when user wants to commit changes, get a second-opinion code review from Codex, push changes, create a PR, check PR status, fix review comments, clean up…
Comprehensive four-wave review of all repo source files, producing a prioritized issue backlog.
Parallel 3-reviewer code review: Security, Business-Logic, Architecture.
RED-GREEN-REFACTOR cycle with strict phase gates for TDD.
Evaluate agents and skills for quality and standards compliance.
Planning lifecycle: specs, requirements, pre-plan ambiguity resolution, file-backed plans, plan validation, pause/resume, session handoff.
Fresh-subagent-per-task execution with two-stage review gates.
Manage editorial content through 6 pipeline stages.
Repurpose source assets into platform-native social content.
Generate headlines, titles, and subject lines: charge, volume, tighten.
AI image generation: Gemini and Nano Banana backends; single/series/batch workflows with prompt-to-disk.
FFmpeg-based video creation from image and audio.
Draft interpersonal and meeting messages: emails, memos, status updates, structured pushback or disagreement.
Plan multi-part content series: structure, cross-linking, cadence.
Generate blog topic ideas: problem mining, gap analysis, expansion.
Document translation: quick/normal/refined modes with chunked parallel subagents and glossary support.
Video editing pipeline: cut footage, assemble clips via FFmpeg and Remotion.
Unified voice content generation pipeline with mandatory validation and joy-check. 13-phase pipeline: LOAD, GROUND, STATS-CHECKPOINT, GENERATE, HOOK-GATE, VALIDATE, REFINE, VARIETY-GATE, JOY-CHECK, ANTI-AI, CLOSE-GATE, OUTPUT, CLEANUP. Use when writing…
Context-driven aesthetic exploration with anti-cliche validation.
Browser-based HTML presentation generation.
Standalone WebGL fragment shaders for card visual effects: holographic foil, shimmer, rarity glow.
Deterministic palette/matrix pixel art (not AI). Use for procedural tile art, color-quantized output, matrix sprites.
Game lifecycle orchestrator: scaffold, assets, audio, QA, deploy.
Audit and create cron jobs with reliability and safety.
Deterministic API endpoint validation with pass/fail reporting.
Loop /do cycles until done-criteria verify or budget stops.
DAG-based multi-skill orchestration with dependency resolution.
Closed-loop toolkit self-improvement: discover gaps, diagnose, propose, critique, build, test, evolve.
Package session state for the next agent, or rehydrate it at start.
Defense-in-depth verification before declaring any task complete.
Mandatory rules for agents in git worktree isolation.
Statistical rule discovery from Go codebase patterns.
Systematic codebase exploration and architecture mapping.
Decision-first data analysis with statistical rigor gates.
Verify factual claims against sources before publish.