AbsolutelySkilled

Absolute-Human - AI-Native Development Lifecycle

A complete SDLC replacement for AI agents - decomposes features into dependency-graphed tasks, executes them in parallel waves with TDD verification, and tracks everything on a persistent board.

Install:

npx skills add AbsolutelySkilled/AbsolutelySkilled --skill absolute-human

Usage:

/absolute-human "Add OAuth2 login with Google and GitHub providers"
/absolute-human "Migrate the REST API to GraphQL"
/absolute-human "Build a real-time chat feature with WebSocket support"

How it works:

1. Interview - extracts requirements, constraints, and success criteria
2. Decompose - breaks work into a dependency-graphed DAG of atomic sub-tasks
3. Discover - explores your codebase and docs in parallel per task
4. Plan - creates test-first implementation strategies per task
5. Execute - runs independent tasks simultaneously via sub-agents in parallel waves
6. Verify - validates every task with TDD, lint, typecheck, and build checks
7. Converge - self code review, requirements validation, and full project verification

Everything is tracked on a persistent .absolute-human/board.md that survives across sessions - resume where you left off, audit decisions, or hand off to another developer.

INTAKE --> DECOMPOSE --> DISCOVER --> PLAN --> EXECUTE --> VERIFY --> CONVERGE

Second Brain - Persistent Memory for AI Agents

A structured, hierarchical knowledge store in ~/.memory/ that gives your AI agent persistent memory across projects, sessions, and tools - automatically loading only what's relevant to the current context.

Install:

npx skills add AbsolutelySkilled/AbsolutelySkilled --skill second-brain

Usage:

# Memories are loaded automatically at conversation start
# After complex tasks, your agent proposes what to remember

"Remember that we always use Bun instead of npm"
"What do you know about our auth system?"
"Update my memory about the deployment process"

How it works:

• Tag-indexed retrieval - memories are scored against your current context and only the top matches are loaded (no wasted tokens)
• 100-line ceiling - files stay small and split automatically, keeping context window usage efficient
• Wiki-linked graph - memories cross-reference each other with [[wiki-links]] for rich knowledge traversal
• Auto-propose learnings - after complex tasks, your agent suggests what to remember for next time
• CRUSP lifecycle - Create, Read, Update, Split, Prune - your memory stays fresh and organized

Skill Audit - Security Analysis for AI Agent Skills

A deep, context-aware security scanner for AI agent skills - combines a Python mechanical pre-scan with AI-powered semantic analysis across 6 threat categories to catch prompt injection, data exfiltration, supply chain attacks, and behavioral risks that regex tools miss.

Install:

npx skills add AbsolutelySkilled/AbsolutelySkilled --skill skill-audit

Usage:

/skill-audit skills/suspicious-tool
/skill-audit skills/suspicious-tool --json
/skill-audit skills/                          # Batch scan entire registry

How it works:

1. Mechanical pre-scan - scripts/audit.py handles deterministic checks: unicode smuggling, base64 payloads, frontmatter validation, file size limits, phantom dependencies, orphaned references
2. Prompt injection analysis - reads every instruction as an attacker would: direct overrides, persona hijacking, instruction laundering, conditional triggers, multi-step manipulation
3. Permission and exfiltration audit - flags destructive commands, credential access, webhook data theft, DNS exfiltration, covert channels
4. Supply chain verification - maintainer provenance, dependency confusion, typosquatting, suspicious URLs, scope creep detection
5. Behavioral safety (AI-only) - unbounded agent loops, user consent bypass, hallucination amplification, context pollution, trust transitivity
6. Structured verdicts - PASS / FAIL / REVIEW REQUIRED with severity-ranked findings table and per-finding recommendations

Output as a human-readable table report (default) or JSON for CI/tooling integration.

Video Creator - End-to-End Programmatic Video Production

A 7-step orchestrator that takes you from "make me a video about X" to a finished 4K video - using Remotion, ElevenLabs TTS, royalty-free music, and SFX. No video editing knowledge required.

Install:

npx skills add AbsolutelySkilled/AbsolutelySkilled --skill video-creator

Usage:

/video-creator "Create a 60-second product demo for my SaaS dashboard"
/video-creator "Make an explainer video about how our API works"
/video-creator "Build a social clip announcing our new feature"

How it works:

1. Deep interview - up to 30 questions about your product, audience, tone, assets, and visual preferences
2. Generate script - structured YAML with scenes, timing, narration text, and audio cues
3. Visual verification - build minimal Remotion compositions, preview in browser, iterate on design
4. Build full project - complete Remotion compositions with all animations matching the approved script
5. Add background audio + SFX - source royalty-free music, place sound effects at trigger points
6. Add narration - ElevenLabs TTS with voice selection (deferred to save costs until visuals are approved)
7. 4K render - final preview, user approval, render at 3840x2160

Companion skills: remotion-video, video-scriptwriting, video-audio-design, video-analyzer

Supaguard - Synthetic Monitoring from Your Codebase

A production monitoring skill that reads your source code, generates Playwright monitoring scripts, and deploys them as recurring checks via the supaguard CLI - all without committing any test scripts to your repository.

Install:

npx skills add AbsolutelySkilled/AbsolutelySkilled --skill supaguard

Usage:

# Point at your app and the agent does the rest
"Set up monitoring for my Next.js app"
"Monitor the login flow on production"
"Create an uptime check for our checkout page"

How it works:

1. Reads your source code - scans components, routes, data-testids, API endpoints, and forms
2. Identifies critical flows - login, checkout, page load, dashboard access
3. Generates Playwright scripts - written to /tmp/, never committed to your repo
4. Tests in the cloud - runs the script via supaguard checks test before deploying
5. Interactive deployment - walks you through naming, scheduling, regions, and alerting one step at a time
6. Multi-region monitoring - US East, EU North, India Central with configurable cron schedules

Companion skills: playwright-testing, cli-design

Codedocs - AI-Agent-Friendly Codebase Documentation

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