feat: add GraphQL tools, embeddings, CRUD eval, and Pydantic data models#2
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alex-jadecli merged 3 commits intomainfrom Apr 12, 2026
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GraphQL tools across data engineering systems (README): - New sections: GraphQL API Layer, GraphQL Schema & Development - 15 tools added spanning Data Integration, Analytics, Workflow Management Agent Skill: graphql-tools (13 scripts): - Universal GraphQL query, GitHub GraphQL API, Neon pg_graphql - Schema introspection, diff, validation, codegen, Hasura, Apollo, Tailcall - Embedding-based tool search: HuggingFace + Neon pgvector - Netflix UDA schema integration (GraphQL/Avro/RDF) Agent Skill: crud-eval (5 scripts): - CRUD evaluation framework: 4 interfaces x 9 entities x 4 ops = 144 evals - Covers GraphQL, API, SDK (anthropic), CLI (ant) interfaces - Grading, benchmarking, and iteration per agentskills.io spec Pydantic 2.0 data models (claude-code-models): - 11 model modules: tools, CLI, hooks, plugins, channels, checkpoints, sessions, skills, MCP, agents, version/semver - release-please + conventional-commits for upstream dep bumps - Targets anthropic SDK >=0.52.0, MCP SDK v2 >=1.9.0 https://claude.ai/code/session_01WM3r1SLzp61f6xeBHQNXDS
…ules Test infrastructure: - pytest + pytest-cov + pytest-xdist for CPU-optimized parallel execution (auto-detects 75% of available CPUs via conftest.py) - 13 markers: unit, validation, serialization, semver, hooks, plugins, tools, cli, channels, mcp, agents, skills, sessions - conftest auto-assigns markers based on module name - Branch coverage enabled, fail_under=90 (actual: 100%) Test modules (180 tests): - test_version.py: SemVer parse/bump/roundtrip, ConventionalCommit, UpstreamDependency, DependencyBump, ReleasePleaseConfig - test_tools.py: 35 ToolName enum, ToolDefinition frozen/roundtrip, PermissionMode, ToolPermissionRule patterns, ToolUseResult - test_cli.py: OutputFormat, EffortLevel, CLICommand, CLIFlag, EnvironmentVariable, CLIConfig validation (max_turns, budget) - test_hooks.py: 26 HookEventName, all 4 handler types, matchers, HookConfig, HookInput/Output, PreToolUse/Permission decisions - test_plugins.py: PluginManifest full schema, LSPServerConfig, PluginInstallation, MarketplaceConfig, channel declarations - test_channels.py: Notification, ServerConfig, PermissionRequest/Verdict, ReplyTool schema - test_sessions.py: Session, SessionEvent, Checkpoint, RewindAction - test_skills.py: SkillFrontmatter (all validation rules: name pattern, length, hyphens), SkillDefinition, SlashCommand - test_mcp.py: MCPServerConfig (stdio/http), ToolAnnotations alias roundtrip, MCPToolDefinition, MCPResource, MCPConfig - test_agents.py: SubAgentFrontmatter (maxTurns alias), SubAgentDefinition, AgentTeam, TeammateMode Results: 180 passed, 0 failed, 100.00% coverage, ~7s on 16 CPUs https://claude.ai/code/session_01WM3r1SLzp61f6xeBHQNXDS
CONTRIBUTING.md covers: - Development setup with uv - Test commands (pytest-xdist parallel, markers, coverage) - Conventional commit conventions with type/scope/bump table - Upstream dependency bump workflow (anthropic SDK, MCP SDK) - Pydantic 2.0/3.0 coding patterns - Model addition checklist (code, tests, coverage) - Skills development guide (graphql-tools, crud-eval) .claude/sessions/session_01WM3r1SLzp61f6xeBHQNXDS.md: - Full transcript of all 10 user prompts from this session - Summary of each prompt's result and artifacts created - Complete artifact inventory (13+5 scripts, 11 model modules, 180 tests, 2 skills, 15 README tools) https://claude.ai/code/session_01WM3r1SLzp61f6xeBHQNXDS
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GraphQL tools across data engineering systems (README):
Agent Skill: graphql-tools (13 scripts):
Agent Skill: crud-eval (5 scripts):
Pydantic 2.0 data models (claude-code-models):
https://claude.ai/code/session_01WM3r1SLzp61f6xeBHQNXDS