librefang-registry/skills

Skills Registry

Skills are reusable expertise modules that can be attached to any agent. Each skill carries a system prompt that injects domain knowledge, best practices, and behavioral guidelines into an agent's context at conversation time. Skills are composable — a single agent can load multiple skills simultaneously.

File Format

A skill lives in its own subdirectory. The only required file is SKILL.md. An optional skill.toml provides structured metadata when [runtime], [input] schema, or explicit versioning is needed.

skills/
├── rust-expert/
│   └── SKILL.md              # required: frontmatter + prompt body
├── meeting-agenda/
│   ├── SKILL.md              # required: frontmatter + prompt body
│   └── skill.toml            # optional: runtime type, input schema, version
└── code-runner/
    ├── SKILL.md              # overview (prompt body unused for script skills)
    ├── skill.toml            # runtime = python, entry = main.py
    └── main.py

SKILL.md format

---
name: rust-expert
description: "Rust programming expert for ownership, lifetimes, async/await, traits, and unsafe code"
version: 0.1.0
author: librefang
tags: [coding, language]
---
# Rust Programming Expertise

You are an expert Rust developer with deep understanding of the ownership system...

The frontmatter must contain name and description. The other keys are optional and the registry parser tolerates their absence:

• version (default null) — semver string. Bump per content update.
• author (default null) — owner of the prompt body. Use librefang for first-party skills under this registry.
• tags (default []) — inline YAML list. The dashboard's catalog surfaces these as filter chips and as visible tags on each skill card. Standard buckets: coding, git, web, devops, browser, ai, data, productivity, security, cli. Add domain-specific follow-ups freely (e.g. [devops, kubernetes, k8s]).

The Markdown body after the closing --- becomes the injected prompt.

skill.toml format (optional)

Only required when you need [runtime], [input] schema, or structured metadata beyond what frontmatter supports:

[skill]
name = "meeting-agenda"
version = "0.1.0"
description = "Generate a structured meeting agenda from a topic and duration."
tags = ["meeting", "productivity"]

[runtime]
type = "promptonly"    # promptonly | python | node | shell

[input]
topic = { type = "string", description = "The meeting topic", required = true }
duration_minutes = { type = "string", description = "Duration in minutes", required = true }

If both files exist, skill.name and skill.description in skill.toml must match the frontmatter in SKILL.md. The validator enforces this to prevent drift.

Installing and Using Skills

# List all available skills in the registry
librefang catalog skills

# Attach a skill to an agent
librefang skill attach <agent-name> rust-expert

# Attach multiple skills
librefang skill attach <agent-name> rust-expert security-audit

# Detach a skill
librefang skill detach <agent-name> rust-expert

# Test a skill locally with sample input
librefang skill test ./skills/meeting-agenda \
  --input '{"topic": "Q1 planning", "duration_minutes": "30"}'

All Skills (61 total)

Programming Languages

Name	Description
css-expert	CSS expert for flexbox, grid, animations, responsive design, and modern layout techniques
golang-expert	Go programming expert for goroutines, channels, interfaces, modules, and concurrency patterns
python-expert	Python expert for stdlib, packaging, type hints, async/await, and performance optimization
rust-expert	Rust programming expert for ownership, lifetimes, async/await, traits, and unsafe code
typescript-expert	TypeScript expert for type system, generics, utility types, and strict mode patterns
wasm-expert	WebAssembly expert for WASI, component model, Rust/C compilation, and browser integration

Web Frameworks and APIs

Name	Description
graphql-expert	GraphQL expert for schema design, resolvers, subscriptions, and performance optimization
nextjs-expert	Next.js expert for App Router, SSR/SSG, API routes, middleware, and deployment
oauth-expert	OAuth 2.0 and OpenID Connect expert for authorization flows, PKCE, and token management
openapi-expert	OpenAPI/Swagger expert for API specification design, validation, and code generation
react-expert	React expert for hooks, state management, Server Components, and performance optimization

Databases

Name	Description
elasticsearch	Elasticsearch expert for queries, mappings, aggregations, index management, and cluster operations
mongodb	MongoDB operations expert for queries, aggregation pipelines, indexes, and schema design
postgres-expert	PostgreSQL expert for query optimization, indexing, extensions, and database administration
redis-expert	Redis expert for data structures, caching patterns, Lua scripting, and cluster operations
sql-analyst	SQL query expert for optimization, schema design, and data analysis
sqlite-expert	SQLite expert for WAL mode, query optimization, embedded patterns, and advanced features
vector-db	Vector database expert for embeddings, similarity search, RAG patterns, and indexing strategies

Cloud and Infrastructure

Name	Description
ansible	Ansible automation expert for playbooks, roles, inventories, and infrastructure management
aws	AWS cloud services expert for EC2, S3, Lambda, IAM, and AWS CLI
azure	Microsoft Azure expert for az CLI, AKS, App Service, and cloud infrastructure
docker	Docker expert for containers, Compose, Dockerfiles, and debugging
gcp	Google Cloud Platform expert for gcloud CLI, GKE, Cloud Run, and managed services
helm	Helm chart expert for Kubernetes package management, templating, and dependency management
kubernetes	Kubernetes operations expert for kubectl, pods, deployments, and debugging
nginx	Nginx configuration expert for reverse proxy, load balancing, TLS, and performance tuning
terraform	Terraform IaC expert for providers, modules, state management, and planning

DevOps and CI/CD

Name	Description
ci-cd	CI/CD pipeline expert for GitHub Actions, GitLab CI, Jenkins, and deployment automation
git-expert	Git operations expert for branching, rebasing, conflicts, and workflows
github	GitHub operations expert for PRs, issues, code review, Actions, and gh CLI
linux-networking	Linux networking expert for iptables, nftables, routing, DNS, and network troubleshooting
prometheus	Prometheus monitoring expert for PromQL, alerting rules, Grafana dashboards, and observability
sentry	Sentry error tracking and debugging specialist
shell-scripting	Shell scripting expert for Bash, POSIX compliance, error handling, and automation
sysadmin	System administration expert for Linux, macOS, Windows, services, and monitoring

Security

Name	Description
compliance	Compliance expert for SOC 2, GDPR, HIPAA, PCI-DSS, and security frameworks
crypto-expert	Cryptography expert for TLS, symmetric/asymmetric encryption, hashing, and key management
security-audit	Security audit expert for OWASP Top 10, CVE analysis, code review, and penetration testing methodology

AI and Machine Learning

Name	Description
llm-finetuning	LLM fine-tuning expert for LoRA, QLoRA, dataset preparation, and training optimization
ml-engineer	Machine learning engineer expert for PyTorch, scikit-learn, model evaluation, and MLOps
prompt-engineer	Prompt engineering expert for chain-of-thought, few-shot learning, evaluation, and LLM optimization
web-search	Web search and research specialist for finding and synthesizing information

Productivity Tools

Name	Description
confluence	Confluence wiki expert for page structure, spaces, macros, and content organization
figma-expert	Figma design expert for components, auto-layout, design systems, and developer handoff
jira	Jira project management expert for issues, sprints, workflows, and reporting
linear-tools	Linear project management expert for issues, cycles, projects, and workflow automation
notion	Notion workspace management and content creation specialist
pdf-reader	PDF content extraction and analysis specialist
slack-tools	Slack workspace management and automation specialist

Writing and Communication

Name	Description
email-writer	Professional email writing expert for tone, structure, clarity, and business communication
presentation	Presentation expert for slide structure, storytelling, visual design, and audience engagement
technical-writer	Technical writing expert for API docs, READMEs, ADRs, and developer documentation
writing-coach	Writing improvement specialist for grammar, style, clarity, and structure

Engineering Practice

Name	Description
api-tester	API testing expert for curl, REST, GraphQL, authentication, and debugging
code-reviewer	Code review specialist focused on patterns, bugs, security, and performance
data-analyst	Data analysis expert for statistics, visualization, pandas, and exploration
data-pipeline	Data pipeline expert for ETL, Apache Spark, Airflow, dbt, and data quality
interview-prep	Technical interview preparation expert for algorithms, system design, and behavioral questions
project-manager	Project management expert for Agile, estimation, risk management, and stakeholder communication
regex-expert	Regular expression expert for crafting, debugging, and explaining patterns

Adding a New Skill

1. Create skills/<name>/SKILL.md with frontmatter (name, description, plus optional version, author, tags) and the prompt body.
2. If you need [runtime], [input], or structured metadata, add skills/<name>/skill.toml.
3. Add implementation files (main.py, etc.) when runtime is not promptonly.
4. Run python scripts/validate.py.
5. Submit a PR.

See CONTRIBUTING.md for the full guide.