Crawler Summary

openclaw-skill-bmad answer-first brief

BMad Method — Agile AI Driven Development BMad Method — Agile AI Driven Development AI-driven agile development framework adapted for OpenClaw agents. Overview BMad (Breakthrough Method of Agile AI Driven Development) provides structured workflows and agent personas to help you build software systematically with AI collaboration. Core Concepts Development Phases 1. **Analysis** — Discover and define the problem 2. **Planning** — Create PRD, architecture, and Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

openclaw-skill-bmad is best for 1m workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 89/100

openclaw-skill-bmad

BMad Method — Agile AI Driven Development BMad Method — Agile AI Driven Development AI-driven agile development framework adapted for OpenClaw agents. Overview BMad (Breakthrough Method of Agile AI Driven Development) provides structured workflows and agent personas to help you build software systematically with AI collaboration. Core Concepts Development Phases 1. **Analysis** — Discover and define the problem 2. **Planning** — Create PRD, architecture, and

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Lambda610

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Setup snapshot

git clone https://github.com/lambda610/openclaw-skill-bmad.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Lambda610

profilemedium
Observed Feb 25, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 25, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

text

Analyze this codebase and produce a tech-spec with user stories.

Consider:
- Current architecture
- Change impact analysis
- Implementation approach
- Testing strategy

text

Implement the following story:
- Title: [story title]
- Description: [story description]
- Acceptance Criteria:
  1. [criteria 1]
  2. [criteria 2]

text

Review the recent changes for:
- Code quality and consistency
- Security concerns
- Performance implications
- Test coverage
- Documentation updates

text

/quick-spec Fix the login timeout issue

Current behavior: Users experience 30-second delay on login
Expected: Immediate response with clear error messages

Scope:
- Authentication module
- Error handling paths
- User feedback

text

/product-brief Build a notification system

Target users: App users who need real-time updates
Problem: Users miss important updates due to lack of notifications
MVP: Push notifications for critical events only
Success metric: 50% increase in user engagement

text

/create-architecture Design notification system architecture

Requirements:
- Support 1M concurrent users
- Multi-channel delivery (push, email, SMS)
- Fault-tolerant delivery
- Analytics and metrics

Consider:
- Event-driven patterns
- Message queue selection
- Delivery guarantees

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

BMad Method — Agile AI Driven Development BMad Method — Agile AI Driven Development AI-driven agile development framework adapted for OpenClaw agents. Overview BMad (Breakthrough Method of Agile AI Driven Development) provides structured workflows and agent personas to help you build software systematically with AI collaboration. Core Concepts Development Phases 1. **Analysis** — Discover and define the problem 2. **Planning** — Create PRD, architecture, and

Full README

BMad Method — Agile AI Driven Development

AI-driven agile development framework adapted for OpenClaw agents.

Overview

BMad (Breakthrough Method of Agile AI Driven Development) provides structured workflows and agent personas to help you build software systematically with AI collaboration.

Core Concepts

Development Phases

  1. Analysis — Discover and define the problem
  2. Planning — Create PRD, architecture, and stories
  3. Solutioning — Refine and prepare for implementation
  4. Implementation — Build, test, and deliver

Quick Flow (Small Changes)

For bug fixes and small features:

  • /quick-spec — Analyze codebase and produce tech-spec
  • /dev-story — Implement each story
  • /code-review — Validate quality

Full Planning Path (Complex Projects)

For products, platforms, and complex features:

  • /product-brief — Define problem, users, and MVP scope
  • /create-prd — Full requirements with personas, metrics, and risks
  • /create-architecture — Technical decisions and system design
  • /create-epics-and-stories — Break work into prioritized stories
  • /sprint-planning — Initialize sprint tracking
  • Repeat: /create-story/dev-story/code-review

Usage

Quick Spec

Generate a technical specification for small changes:

Analyze this codebase and produce a tech-spec with user stories.

Consider:
- Current architecture
- Change impact analysis
- Implementation approach
- Testing strategy

Dev Story

Implement a story from the spec:

Implement the following story:
- Title: [story title]
- Description: [story description]
- Acceptance Criteria:
  1. [criteria 1]
  2. [criteria 2]

Code Review

Validate implementation quality:

Review the recent changes for:
- Code quality and consistency
- Security concerns
- Performance implications
- Test coverage
- Documentation updates

Agent Personas

Product Manager (📋)

  • PRD creation through user interviews
  • Requirements discovery
  • Stakeholder alignment

Architect (🏗️)

  • System design decisions
  • Technology selection
  • Scalability patterns

Developer (💻)

  • Clean code implementation
  • Best practices
  • Code review

QA Engineer (🧪)

  • Test strategy
  • Quality gates
  • Risk assessment

UX Designer (🎨)

  • User experience
  • Interface design
  • Accessibility

Scrum Master (📊)

  • Sprint planning
  • Process facilitation
  • Continuous improvement

Best Practices

Scale-Adaptive Planning

Adjust planning depth based on project complexity:

  • Simple (bug fixes): Quick spec → Dev → Review
  • Medium (features): PRD → Architecture → Stories → Sprint
  • Complex (systems): Full BMad methodology with all phases

User Value First

  • Ship the smallest thing that validates the assumption
  • Iteration over perfection
  • Technical feasibility is a constraint, not the driver

Collaborative AI

  • AI as expert collaborator, not replacement
  • Structured process brings out best thinking
  • Multiple perspectives with Party Mode

Examples

Example 1: Small Bug Fix

/quick-spec Fix the login timeout issue

Current behavior: Users experience 30-second delay on login
Expected: Immediate response with clear error messages

Scope:
- Authentication module
- Error handling paths
- User feedback

Example 2: New Feature

/product-brief Build a notification system

Target users: App users who need real-time updates
Problem: Users miss important updates due to lack of notifications
MVP: Push notifications for critical events only
Success metric: 50% increase in user engagement

Example 3: Architecture Decision

/create-architecture Design notification system architecture

Requirements:
- Support 1M concurrent users
- Multi-channel delivery (push, email, SMS)
- Fault-tolerant delivery
- Analytics and metrics

Consider:
- Event-driven patterns
- Message queue selection
- Delivery guarantees

Resources

  • Original Project: https://github.com/bmad-code-org/BMAD-METHOD
  • Documentation: http://docs.bmad-method.org
  • Community: https://discord.gg/gk8jAdXWmj

Credits

BMad Method is created by BMad Code, LLC and licensed under MIT.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/lambda610-openclaw-skill-bmad/snapshot"
curl -s "https://xpersona.co/api/v1/agents/lambda610-openclaw-skill-bmad/contract"
curl -s "https://xpersona.co/api/v1/agents/lambda610-openclaw-skill-bmad/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/lambda610-openclaw-skill-bmad/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/lambda610-openclaw-skill-bmad/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/lambda610-openclaw-skill-bmad/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/lambda610-openclaw-skill-bmad/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/lambda610-openclaw-skill-bmad/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/lambda610-openclaw-skill-bmad/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:29:11.309Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "1m",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:1m|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Lambda610",
    "href": "https://github.com/lambda610/openclaw-skill-bmad",
    "sourceUrl": "https://github.com/lambda610/openclaw-skill-bmad",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:24:25.213Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/lambda610-openclaw-skill-bmad/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/lambda610-openclaw-skill-bmad/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:24:25.213Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/lambda610-openclaw-skill-bmad/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/lambda610-openclaw-skill-bmad/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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