techknowmad-ai-skills
20 enterprise-grade skills for autonomous AI/ML research lab operations. Includes 10 custom gap-analysis skills (research-commander, agent-d
Open source Repository Open in the app JSON README (API)
About
20 enterprise-grade skills for autonomous AI/ML research lab operations. Includes 10 custom gap-analysis skills (research-commander, agent-debugger, model-evaluator, cost-optimizer, patent-researcher, red-team-ai-models, self-healing-agent, zero-touch-ml-pipeline, knowledge-distiller, academic-output-pipeline) and 10 radical combination skills (swarm-commander, pareto-prompt-optimizer, prompt-evolution, multi-agent-research-swarm, self-evolving-skill-ecosystem, skill-factory, antifragile-ai-ops, compliance-as-code, startup-creative-automation, ip-aware-competitive-intel). Built for MLOps, multi-agent orchestration, adversarial testing, and full research lifecycle automation.
Details
- Kind
- Plugins
- Topic
- Developer tools
- Publisher
- techknowmad-labs
- Origin
- marketplace
- Category
- ferramentas
- Last push
- 2026-03-12T19:16:24Z
- Repository state
- arquivado
- Language
- Shell
- License
- MIT
- Added
- 2026-08-30 01:48:58
- Updated
- 2026-08-30 01:48:58
- Origin id
techknowmad-labs/techknowmad-ai-skills/techknowmad-ai-skills
README
# TechKnowmad AI Skills [](LICENSE) [](https://github.com/TECHKNOWMAD-LABS/techknowmad-ai-skills) [](#whats-inside) > **20 enterprise-grade skills for autonomous AI/ML research lab operations.** > Custom-built skills + composable combination skills. Designed for [Claude Code](https://docs.claude.com). ## What's Inside ### Custom Skills (10) — Purpose-Built Original skills addressing gaps in the Claude Code ecosystem: | Skill | What It Does | Priority | |-------|-------------|----------| | `research-commander` | Full research lifecycle orchestrator — literature review → hypothesis → experiment → paper → submission | P0 | | `swarm-commander` | Multi-agent swarm coordination with consensus protocols and result aggregation | P0 | | `model-evaluator` | Automated benchmark suite runner with leaderboards and regression detection | P0 | | `agent-debugger` | Trace agent decision chains, replay failures, diagnose root causes | P1 | | `self-healing-agent` | Autonomous recovery — detect degradation, auto-fix, escalate when needed | P1 | | `prompt-evolution` | Genetic algorithm-based prompt optimization across generations | P1 | | `skill-factory` | Meta-skill that auto-generates new skills from detected patterns | P1 | | `patent-researcher` | AI/ML patent prior art search, claim drafting, FTO analysis | P2 | | `cost-optimizer` | Cross-cloud spend analysis, GPU strategies, token cost reduction | P2 | | `knowledge-distiller` | Compress large documents into optimal skill prompts | P2 | ### Combination Skills (10) — Composable Pipelines Skills composed from multiple base skills for compound capabilities: | Skill | Composes | What It Does | |-------|---------|-------------| | `multi-agent-research-swarm` | Research Commander + Swarm Commander + arXiv | 10 agents review papers in parallel, synthesize into one review | | `red-team-ai-models` | Pen Tester + AI Security + Model Evaluator | Adversarial security testing for your own ML models | | `self-evolving-skill-ecosystem` | Skill Factory + Workflow Miner + Telemetry | Skills that create skills that create skills | | `academic-output-pipeline` | Research Commander + Paper Writer + Grant Writer | Experiment results → paper → poster → slides → grant proposal | | `antifragile-ai-ops` | Chaos Engineer + Self-Healing + Debugger | Break agents, watch them self-recover, learn from it | | `pareto-prompt-optimizer` | Prompt Evolution + Model Evaluator + Cost Optimizer | Find Pareto-optimal prompts (accuracy vs cost vs latency) | | `zero-touch-ml-pipeline` | Data Pipeline + n8n + Ruflo + Self-Healing | Fully autonomous data → train → deploy → monitor → retrain | | `startup-creative-automation` | Brand Architect + fal.ai + Presentation Architect | Brand identity → visual assets → pitch deck in one pipeline | | `compliance-as-code` | Compliance Automator + GRC + Audit Support | Continuous SOC2/ISO/GDPR compliance with auto-evidence | | `ip-aware-competitive-intel` | Patent Researcher + Literature + Competitive War Room | Patents + papers + products in one competitive landscape view | ## Installation ### As a Claude Plugin ```bash claude plugin add TECHKNOWMAD-LABS/techknowmad-ai-skills ``` ### Quick Install (All Skills) ```bash chmod +x scripts/install-techknowmad-skills.sh ./scripts/install-techknowmad-skills.sh ``` ### Manual Install (Individual Skills) ```bash # Copy a single skill cp -r custom-skills/research-commander ~/.claude/skills/research-commander # Or symlink (preserves git updates) ln -s "$(pwd)/custom-skills/research-commander" ~/.claude/skills/research-commander ``` ### Restart Claude Code ```bash # Close and reopen Claude Code to load new skills claude ``` ## Prerequisites These skills are designed to work with the **TechKnowmad MCP stack**. They reference MCPs like arXiv, fal.ai, Langfuse, Ruflo, etc. Skills will still function without all MCPs installed — they gracefully fall back when a referenced MCP isn't available. ## Repo Structure ``` techknowmad-ai-skills/ ├── .claude-plugin/ ← Plugin metadata │ ├── plugin.json │ └── marketplace.json ├── custom-skills/ ← 10 original skills │ ├── research-commander/SKILL.md │ ├── swarm-commander/SKILL.md │ ├── model-evaluator/SKILL.md │ ├── agent-debugger/SKILL.md │ ├── self-healing-agent/SKILL.md │ ├── prompt-evolution/SKILL.md │ ├── skill-factory/SKILL.md │ ├── patent-researcher/SKILL.md │ ├── cost-optimizer/SKILL.md │ └── knowledge-distiller/SKILL.md ├── combination-skills/ ← 10 composed skills │ ├── multi-agent-research-swarm/SKILL.md │ ├── red-team-ai-models/SKILL.md │ ├── self-evolving-skill-ecosystem/SKILL.md │ ├── academic-output-pipeline/SKILL.md │ ├── antifragile-ai-ops/SKILL.md │ ├── pareto-prompt-optimizer/SKILL.md │ ├── zero-touch-ml-pipeline/SKILL.md │ ├── startup-creative-automation/SKILL.md │ ├── compliance-as-code/SKILL.md │ └── ip-aware-competitive-intel/SKILL.md ├── scripts/ │ └── install-techknowmad-skills.sh ├── manifest.json ← Skill registry ├── CONTRIBUTING.md ├── SECURITY.md └── LICENSE ``` ## Why This Exists **For teams**: A curated, version-controlled skill ecosystem — shareable across team instances, iteratively improvable. **For the community**: Reference architecture for building a research lab skill stack. These skills represent patterns that don't exist elsewhere: - Multi-agent research swarms (parallel paper review with consensus synthesis) - Self-evolving skill ecosystems (recursive self-improvement) - Antifragile AI ops (chaos engineering for agents) - Pareto prompt optimization (multi-objective prompt engineering) - Zero-touch ML pipelines (fully autonomous model lifecycle) ## Security See [SECURITY.md](SECURITY.md) for vulnerability disclosure policy. ## License MIT — Use, modify, distribute freely. Attribution appreciated. ## Contributing PRs welcome. Each skill must include: - `SKILL.md` with Role, Trigger Conditions, and structured instructions - Integration points listing required MCPs - At least one example invocation --- *Built by [TechKnowmad AI](https://techknowmad.ai) — Powering autonomous intelligence development.*