By FluxonLab
Technical documentation: README/architecture docs, API reference, changelogs, tutorials, runbooks, doc-site structure, and docx/pdf/markdown authoring quality.
Use when you need a read-only quality review of documentation — verifying technical accuracy against the code, audience fit, terminology and style consistency, link health, and whether every example actually runs.
Use when you need to write or improve technical documentation — READMEs, doc-site structure, API reference, changelogs and release notes, tutorials and how-to guides, and operational runbooks — with verified, runnable examples.
Use when you need to structure or restructure a project README and a documentation site — defining required sections, a 5-minute quickstart, a navigable table of contents, and a docs-as-code layout that lives in the repo and builds in CI.
Use when you need to produce or audit API reference documentation from code or an OpenAPI spec — complete endpoint/parameter coverage, runnable request/response examples, an error/status-code table, authentication notes, and a clear versioning and deprecation policy.
Use when you need to write or audit a CHANGELOG and human-facing release notes — applying Keep a Changelog structure, deriving entries from conventional commits, choosing the correct semver bump, and writing clear breaking-change and migration notes.
Use when you need to write or classify learning-oriented and task-oriented documentation using the Diátaxis framework — separating tutorials, how-to guides, reference, and explanation, and producing runnable, verified step-by-step instructions.
Use when you need to write or audit incident runbooks and on-call operational docs — symptom-first triage, validated diagnostic and recovery commands, escalation paths and severity levels, rollback steps, and verification that service is restored.
Uses power tools
Uses Bash, Write, or Edit tools
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Installable, permission-bounded, multi-platform agent skills & subagents — by FluxonLab.
One source of truth. Install the same curated skills, subagents, and slash commands into Claude Code, OpenAI Codex, GitHub Copilot, and Google Antigravity (Gemini) — with real permission boundaries, a validation harness, and full upstream attribution.
Quickstart · What's inside · Multi-platform · Safety · Build effort · Contributing
Most Claude Code resource repos are link lists (you still copy files by hand) or are Claude-only. Skillry is different on five axes:
| Skillry | Typical "awesome" list | Typical CLI installer | |
|---|---|---|---|
| Installs actual skill/agent files (not links) | ✅ | ❌ | ✅ |
| Multi-platform (Claude + Codex + Copilot + Gemini) | ✅ | ❌ | ❌ (Claude only) |
Per-agent permission boundaries (least-privilege tools) | ✅ | ❌ | ⚠️ |
| Validation harness (structure + frontmatter lint + permission + lockfiles) | ✅ | ❌ | ⚠️ |
| Skill-sync: discover (license + risk scan), normalize (frontmatter + provenance), vet (staged, attributed, never auto-enabled) | ✅ | ❌ | ❌ |
| Native plugin marketplace (sha-pinned, reproducible) | ✅ | ❌ | ⚠️ |
| Full upstream attribution for redistributed content | ✅ | n/a | ⚠️ |
These directly reflect Anthropic's own guidance: least-privilege tools, single-responsibility subagents, and auditing third-party skills before use.
# In Claude Code:
/plugin marketplace add FluxonLab/Skillry
/plugin install core-operations@skillry
Browse all departments with /plugin marketplace after adding.
# Runs straight from GitHub — no global install, no npm account required:
npx github:FluxonLab/Skillry install # dry-run, all platforms
npx github:FluxonLab/Skillry install --apply --targets claude # or: codex copilot antigravity
npx github:FluxonLab/Skillry install --apply --targets claude --community # include attributed 3rd-party skills
# Or install the CLI globally:
npm install -g skillry
skillry install --apply --targets claude codex
skillry validate
git clone https://github.com/FluxonLab/Skillry
cd Skillry
python3 tools/install.py # dry-run: shows what will be installed
python3 tools/install.py --apply --targets claude # or: codex copilot antigravity
The installer rewrites machine-specific paths to your $HOME and backs up any existing
config (*.bak-skillry) before writing. Dry-run is the default. Verify with
python3 tools/validate.py.
tools allowlists and read-only vs. write scopes.community/ set — 98 skills + 49 agents from 6 permissively-licensed sources,
redistributed with full attribution (MIT/ISC only — see NOTICE and
THIRD-PARTY-NOTICES).CLAUDE.md — a project-agnostic engineering operating manual
(inspect-first, surgical changes, security, i18n + theme parity, dev-launch defaults, honest
verification). It governs this repo and is written to be copied into your own project as a
strong default: cp CLAUDE.md /path/to/your/repo/CLAUDE.md.Core Operations · Runtime & Local App · Backend & API · Frontend & Web Design · Mobile & Desktop · Gaming & Interactive Media · Database & Data · AI & Agent Systems · Security · Testing & QA · DevOps & Release · Product, Docs & Research · Documentation & Tech Writing · Data & ML / AI Engineering · Performance & Cost · Cloud & Infrastructure · Skill Library & Installation · Optional Specialists
npx claudepluginhub fluxonlab/skillry --plugin skillry-documentation-and-tech-writingRepo diagnostics, architecture review, implementation planning, refactor safety, release readiness, and project bootstrap.
Agent workflow design, governance, prompt systems, RAG/vector search, LLM evaluation, and MCP gatekeeping.
API/interface design, backend review, auth/session, integration boundaries, error handling, and Python project review.
Cloud and infrastructure: Infrastructure-as-Code (Terraform), containers (Docker/Compose), Kubernetes, cloud provider services, networking/secrets, and deploy topology — distinct from CI/CD pipeline review.
Data and ML engineering: data pipelines, ETL/ELT, data quality & validation, feature engineering, notebook hygiene, model training/serving, experiment tracking, and dataset versioning.
Comprehensive .NET development skills for modern C#, ASP.NET, MAUI, Blazor, Aspire, EF Core, Native AOT, testing, security, performance optimization, CI/CD, and cloud-native applications
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Harness-native ECC operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
Binary reverse engineering, malware analysis, firmware security, and software protection research for authorized security research, CTF competitions, and defensive security
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
v9.44.1 — Patch release for Gemini environment/version detection and qwen auth gating. Run /octo:setup.