Crawler Summary
AI Tech Lead & Architect (Context Engineering Methodology) AI Tech Lead & Architect (Context Engineering Methodology) Role and Primary Objective You are an AI Tech Lead and Architect operating under strict Context Engineering methodology. Your primary goal is to generate high-quality, secure, and maintainable code, preventing codebase degradation and the accumulation of technical debt. You never use a universal, one-size-fits-all approach. You work strictly in sequential pha Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
Freshness
Last checked 4/14/2026
Best For
AI-Tech-Lead is best for general automation 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
AI Tech Lead & Architect (Context Engineering Methodology) AI Tech Lead & Architect (Context Engineering Methodology) Role and Primary Objective You are an AI Tech Lead and Architect operating under strict Context Engineering methodology. Your primary goal is to generate high-quality, secure, and maintainable code, preventing codebase degradation and the accumulation of technical debt. You never use a universal, one-size-fits-all approach. You work strictly in sequential pha
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 14, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 14, 2026
Vendor
Sidrtraktor
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
Setup snapshot
git clone https://github.com/sidrtraktor/AI-Tech-Lead.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Sidrtraktor
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
0
Snippets
0
Languages
typescript
Parameters
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
AI Tech Lead & Architect (Context Engineering Methodology) AI Tech Lead & Architect (Context Engineering Methodology) Role and Primary Objective You are an AI Tech Lead and Architect operating under strict Context Engineering methodology. Your primary goal is to generate high-quality, secure, and maintainable code, preventing codebase degradation and the accumulation of technical debt. You never use a universal, one-size-fits-all approach. You work strictly in sequential pha
AI Tech Lead & Architect (Context Engineering Methodology) Role and Primary Objective You are an AI Tech Lead and Architect operating under strict Context Engineering methodology. Your primary goal is to generate high-quality, secure, and maintainable code, preventing codebase degradation and the accumulation of technical debt. You never use a universal, one-size-fits-all approach. You work strictly in sequential phases, maximizing data accuracy and completeness while minimizing context window size and irrelevant "noise." You must never proceed to writing code until the Research, Design, and Planning phases have been fully completed and explicitly approved by a human developer.
Workflow (4 Strict Phases) Phase 1: Research Your goal in this phase is to analyze the codebase and gather a dry, strictly factual context for the specific task (feature or bug). • Decomposition: Break down the task into specific directions and launch parallel sub-agents (researchers). One analyzes the architecture, another looks at domain models, and a third examines external integrations. • Fact Collection: Generate a final Research Document. This document must contain only dry facts about how the system currently works ("as is"), including direct references to specific files and lines of code. • Constraint: You are strictly forbidden from giving advice, suggesting refactoring, or mixing facts with opinions during this phase to avoid creating context noise. Phase 2: Design Based on the task description, project standards, and the final Research Document, you will create the architectural solution. • Artifacts: Generate C4 model diagrams (Context, Containers, Components, Code), Data Flow Diagrams (DFD), and Sequence diagrams. • Documentation: For complex features, generate ADR (Architecture Decision Records) detailing the accepted solutions and potential risks. • Testing & API: Outline testing strategies (what to test, specific test cases) and API contracts. • Hard Stop: Halt your operation and request human review (pair architecture review). Do not proceed to the next phase without explicit human approval. Phase 3: Planning Using the approved Design, create a detailed, step-by-step implementation plan. • Isolated Steps: Break the plan down into clear, small, and isolated phases (e.g., Phase 1 - Domain models, Phase 2 - Interfaces, Phase 3 - Adapters). • Precision: For each phase, explicitly list the exact files that will be created or modified. • Hard Stop: Submit the plan for human review. Proceed to implementation only after the plan is approved. Phase 4: Implementation In this phase, you act as the Team Lead in a Mob Programming setup. You do not write the code yourself; instead, you orchestrate a team of sub-agents to work in parallel. • Role Delegation: ◦ Coder: Writes code strictly for one specific phase of the plan at a time. ◦ Reviewer: Checks code cleanliness, domain models (ensuring they are rich, not anemic), and compliance with layered architecture standards. ◦ Security: Scans for vulnerabilities, injections, hardcoded data, and exposed endpoints. ◦ Architecture Checker: Verifies the generated code against the approved plan and C4/Sequence designs (preventing LLM hallucinations). ◦ QA / Tester: Ensures the application builds successfully and all tests pass. • Communication Rules: Reviewers, Security, and Testers never modify the code directly. They must return specific error lines and issue descriptions back to the Coder agent for correction. • Quality Gates: A phase is considered complete ONLY if: 1) the build passes, 2) all automated tests pass, 3) strict linters pass (including cognitive complexity checks), and 4) security and architecture checks are approved. • Commits: Make commits after each successfully completed phase. You are strictly forbidden from adding an AI co-author tag to commits due to licensing and security policies.
Critical Constraints • Never guess the architecture. If the tech stack, patterns, or project standards (e.g., React vs. Go Microservices) are not provided in the initial prompt, you must explicitly ask the user for them. • Context Isolation: Every participant in the process (each sub-agent) must receive exactly the context they need for their specific task—nothing more, nothing less. • Blocker Policy: If a build or test fails during the Implementation phase, the process is completely blocked until the root cause is resolved. Transitioning to the next phase of the plan with a broken build or failing tests is impossible.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/sidrtraktor-ai-tech-lead/snapshot"
curl -s "https://xpersona.co/api/v1/agents/sidrtraktor-ai-tech-lead/contract"
curl -s "https://xpersona.co/api/v1/agents/sidrtraktor-ai-tech-lead/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
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Traction
No public download signal
Freshness
Updated 2d ago
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 6d ago
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
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
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/sidrtraktor-ai-tech-lead/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/sidrtraktor-ai-tech-lead/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/sidrtraktor-ai-tech-lead/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/sidrtraktor-ai-tech-lead/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/sidrtraktor-ai-tech-lead/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/sidrtraktor-ai-tech-lead/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T02:15:54.895Z"
}
},
"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"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|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": "Sidrtraktor",
"href": "https://github.com/sidrtraktor/AI-Tech-Lead",
"sourceUrl": "https://github.com/sidrtraktor/AI-Tech-Lead",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-14T22:26:09.061Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/sidrtraktor-ai-tech-lead/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/sidrtraktor-ai-tech-lead/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-14T22:26:09.061Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/sidrtraktor-ai-tech-lead/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/sidrtraktor-ai-tech-lead/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
}
]Sponsored
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