AI/ML Workflow Bundle — LLM apps, RAG, agents, ML pipelines, observability
Phase-by-phase AI/ML workflow bundle: AI application design, LLM integration, RAG implementation, AI agent development, ML pipelines, observability and AI security — orchestrating skills via copy-paste prompts with checklists and quality gates
- What
- Phase-by-phase AI/ML workflow bundle: AI application design, LLM integration, RAG implementation, AI agent development, ML pipelines, observability and AI security — orchestrating skills via copy-paste prompts with checklists and quality gates
- Cost
- Free
- Needs
- an AI/ML project to build or maintain; the referenced sub-skills are expected in the same ecosystem — the skill is an orchestration playbook the agent follows, not software
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
Curated by Skill Harbor — @sickn33's ai-ml: an AI/ML workflow bundle that orchestrates sub-skills across seven phases — AI application design, LLM integration, RAG implementation, AI agent development, ML pipeline development, AI observability, and AI security. Each phase lists the skills to invoke, concrete actions (define use cases, choose models, design data pipelines, set up vector search, implement tracing and evaluation, harden prompts), copy-paste invocation prompts, an AI development checklist (API keys secured, rate limiting, retrieval accuracy, agent orchestration), quality gates, and links to related workflow bundles. Honest caveats: it's a meta-skill — a router and checklist bundle rather than deep how-to content; its value depends on the referenced skills existing in the same ecosystem. The skill's frontmatter states no license; the catalog manifest records MIT — manifest takes precedence. MIT licensed per the manifest. Skill Harbor never reviews the code, review it yourself before use. Discovered via skills.sh.
Version:
Install
Prerequisites: an AI/ML project to build or maintain; the referenced sub-skills are expected in the same ecosystem — the skill is an orchestration playbook the agent follows, not software Install "AI/ML Workflow Bundle — LLM apps, RAG, agents, ML pipelines, observability" for me. It gives my agent @sickn33's seven-phase workflow: AI application design, LLM integration, RAG implementation (embeddings, vector DB, chunking, reranking), AI agent development (roles, tools, memory, orchestration), ML pipeline development, AI observability (tracing, evaluation, alerts), and AI security (input validation, output filtering, rate limiting, audit logging) — driven via copy-paste skill-invocation prompts, with an AI development checklist and quality gates. License note: the skill's frontmatter states no license; the catalog manifest records MIT — manifest takes precedence. Repository: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/ai-ml/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "ai-ml". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. ensure the referenced sub-skills it orchestrates are available; save my LLM provider API keys in the vault). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.