By kodexa-ai
Skills for authoring Kodexa platform metadata: data definitions, project templates, modules, data forms, assistants, task templates, activity plans, and more
Use when creating or editing Kodexa activity plans — org-scoped YAML defining a step graph (CREATE_TASK, EXECUTION, BRIDGE_CALL, SCRIPT, LLM, APPROVAL, AGENT) plus inputs schema and default title/description templates. Replaces the old plan_template inside task-templates.
Use when creating or editing Kodexa assistants — YAML configuration for event-driven processing pipelines including step definitions, connections to stores, event subscriptions, conditionals, and module orchestration
Use when creating, editing, or debugging Kodexa data definitions (taxonomies) — YAML files defining taxon hierarchies, data types, validation rules, conditional formatting, and semantic extraction definitions for document processing
Use when creating or editing Kodexa Data Forms V2 — schema-driven JSON/YAML defining UI components for viewing and editing extracted document data, including UINode trees, data binding, QuickJS scripting, Bridge API, and event handling
Use when working with the Kodexa CLI (kdx) — kubectl-style commands for managing platform resources, profiles, sync/deploy workflows, and metadata repositories
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
A Claude Code plugin providing skills for authoring Kodexa platform metadata. Each skill includes complete reference schemas, interactive wizards, YAML examples, and common mistake guides.
| Skill | Description |
|---|---|
| data-definition | Taxon hierarchies, data types, validation rules, conditional formatting, semantic extraction definitions |
| project-template | Project blueprints — stores, assistants, taxonomies, data forms, status workflows, knowledge sets, triggers, and scheduled jobs |
| module | Model modules (Python ML/AI) and skill modules (file packs) — runtime config, sidecars, inference options, deployment |
| data-form | V2 schema-driven UI forms — UINode component trees, data binding, QuickJS scripting, Bridge API |
| assistant | Event-driven processing pipelines — connections, subscriptions, multi-step orchestration, scheduling |
| task-template | Org-scoped task definitions — options, forms, actions, document family groups, AI naming, team assignment |
| activity-plan | Org-scoped step graphs — CREATE_TASK, EXECUTION, BRIDGE_CALL, SCRIPT, LLM, APPROVAL, AGENT steps with inputs schema and templates |
| knowledge-system | Feature types, item types, knowledge sets — rule-based processing customization with DNF expressions |
| service-bridge | External API proxy endpoints — centralized authentication, header management, caching |
| prompt-template | LLM prompt configurations — extraction prompts, system prompts, knowledge-driven overrides |
| kdx-cli | Kodexa CLI — kubectl-style commands, profile management, sync/deploy workflows, secret management |
Add the marketplace and install the plugin in Claude Code:
claude plugin marketplace add kodexa-ai/kodexa-metadata-skills
claude plugin install kodexa-metadata-skills
After installation, the skills are automatically available in all Claude Code sessions.
For development/testing, you can also load the plugin directly from a local directory:
claude --plugin-dir /path/to/kodexa-metadata-skills
Skills are invoked automatically when Claude Code detects a matching task, or you can invoke them explicitly:
# Ask Claude Code to create metadata
> Create a data definition for extracting purchase order data
# Claude Code will automatically use the data-definition skill
# Or invoke directly via the Skill tool
> /kodexa-metadata-skills:data-definition
Each skill offers a guided wizard mode. When you ask to create metadata from scratch, the skill walks you through:
When editing existing metadata or debugging issues, the skill loads the complete schema reference into context to assist with any modification.
data-definition — Author taxonomy YAML for document extraction. Covers all 12 data types (STRING, NUMBER, CURRENCY, DATE, SELECTION, etc.), value paths, validation formula functions, conditional formatting, repeating groups, and semantic definitions.
project-template — Author project blueprint YAML. Covers stores, assistants, taxonomies, data forms, document/task/attribute status workflows, inline and org-level task templates, scheduled jobs, knowledge sets, project options (with companion + execution policy), and how triggers and activity-plans bind to projects.
module — Author module YAML for both model (Python) and skill (file pack) types. Covers runtime configuration, sidecar dependencies, inference options, deployment defaults, Python entry point patterns, and magic parameter injection.
data-form — Author V2 schema-driven forms in JSON. Covers UINode component tree, layout/display/data components, Bridge API namespaces (kodexa.data, kodexa.navigation, kodexa.form, kodexa.http, kodexa.log), event handling, and scripting.
assistant — Author assistant pipeline YAML. Covers connection types (STORE, CHANNEL, DOCUMENT_FAMILY, WORKSPACE), subscription expressions, multi-step pipeline chaining, extension pack structure, and Python implementation.
task-template — Author org-scoped task template YAML. Covers metadata.options (unified field/option list with groupOptions and listType), forms, action buttons, document family groups, AI naming, chat prompt, execution policy, companion config, and the initialStatusSlug that resolves against project-bound task-statuses.
npx claudepluginhub kodexa-ai/kodexa-metadata-skills --plugin kodexa-metadata-skillsComprehensive 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
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Persistent file-based planning for AI coding agents. Crash-proof markdown plans (task_plan.md, findings.md, progress.md) that survive context loss and /clear, with an opt-in completion gate and multi-agent shared state. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard. Includes Arabic, German, Spanish, and Chinese (Simplified and Traditional).