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kweaver

Official

@kweaver-ai · Shanghai

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44Public Repos
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30Published Skills

Offers structured knowledge network modeling, BKN definition management, and business rule extraction for enterprise decision systems.

Skills Distribution
DomainBusiness, Fi...Knowledge Network .. (40%)Business Rule Engi.. (30%)Pipeline Artifact .. (30%)

Agent Skills by kweaver

Showing 30 vetted skills indexed across 1 GitHub repositories.

kweaver-aikweaver-ai

ci

Automate CI workflows for multi-arch image builds, chart versioning, and Helm packaging.

Official
Intermediate
kweaver-aikweaver-ai

git-workflow

Generate conventional Git commit messages and PR summaries from diffs.

Official
Intermediate
kweaver-aikweaver-ai

archive-protocol

Archive task outputs to the archives directory with validation and session tracking.

Official
Advanced
kweaver-aikweaver-ai

schedule-plan

Automate timed plans, reminders, and task archival with PLAN.md persistence.

Official
Advanced
kweaver-aikweaver-ai

feishu-push

Push text, cards, images, or files to Feishu users via the Feishu Open API.

Official
Intermediate
kweaver-aikweaver-ai

data-semantic

Parse form-view data semantically to generate field and object insights.

Official
Advanced
kweaver-aikweaver-ai

bkn-modeling-advisor

Design and validate BKN 2.0.0 model definitions with a phase-based workflow.

Official
Advanced
kweaver-aikweaver-ai

create-bkn

Generate complete BKN definitions with YAML frontmatter for kweaver-core.

Official
Intermediate
kweaver-aikweaver-ai

smart-data-analysis

Route data analysis requests to sub-skills and produce structured evidence packages.

Official
Advanced
kweaver-aikweaver-ai

data-quality

Configure quality rules and generate reports across knowledge networks.

Official
Advanced
kweaver-aikweaver-ai

bkn-creator

Route BKN creation intents to correct pipelines and SKILL.md definitions.

Official
Advanced
kweaver-aikweaver-ai

kweaver-core

Manage KWeaver knowledge networks and decision agents via CLI.

Official
Advanced
kweaver-aikweaver-ai

bkn-draft

Convert confirmed modeling lists into standardized .bkn draft files.

Official
Intermediate
kweaver-aikweaver-ai

bkn-review

Compute quality scores from test results and network state, then output an adjustment_plan.

Official
Advanced
kweaver-aikweaver-ai

bkn-backfill

Backfill binding and mapping results into .bkn files with prepush validation.

Official
Advanced
kweaver-aikweaver-ai

bkn-report

Aggregate pipeline artifacts into structured phase and final reports.

Official
Intermediate
kweaver-aikweaver-ai

bkn-archive

Generate ARCHIVE_ID and TIMESTAMP for OpenClaw session archival workflows.

Official
Advanced
kweaver-aikweaver-ai

bkn-relation-bind

Classify relations as direct or data_view and bind intermediate views.

Official
Advanced
kweaver-aikweaver-ai

bkn-env

Validate BKN environment readiness and bootstrap requirements before binding or pushing.

Official
Advanced
kweaver-aikweaver-ai

bkn-domain

Identify business text domains with scoring and confidence outputs.

Official
Intermediate
kweaver-aikweaver-ai

bkn-map

Map object properties to view fields and compute coverage for release gating.

Official
Advanced
kweaver-aikweaver-ai

bkn-kweaver

Automate KWeaver BKN workflow management across authentication, config, agents, and data sources.

Official
Advanced
kweaver-aikweaver-ai

bkn-skillgen

Analyze skill inventories to identify capability gaps and generate skill artifacts.

Official
Advanced
kweaver-aikweaver-ai

bkn-bind

Map BKN objects to suitable data views and produce binding decisions.

Official
Intermediate

Frequently Asked Questions About kweaver

FAQPage Schema
What specific tasks can I perform using KWeaver?

You can extract business rules from documentation, generate standardized BKN modeling files, validate knowledge network integrity, and distribute structured rule artifacts to local development environments for immediate implementation.

Which personas benefit most from these modeling capabilities?

Enterprise architects, knowledge engineers, and technical business analysts benefit from these capabilities by standardizing complex business logic into machine-readable knowledge networks and ensuring consistent modeling across distributed teams.

What are the primary prerequisites for deploying these modeling functions?

Deployment requires a configured KWeaver core environment, access to source business documentation or PRDs, and established network identifiers for binding objects, relationships, and actions within your specific knowledge domain.