chore: untrack .claude/ and .mcp.json, add them to .gitignore

This commit is contained in:
zheng020 2026-06-02 18:26:17 +08:00
parent 20e3fcedc4
commit 0f1cbb39c1
8 changed files with 2 additions and 170 deletions

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{
"hooks": {
"PostToolUse": [
{
"matcher": "Edit|Write|Bash",
"hooks": [
{
"type": "command",
"command": "git rev-parse --git-dir >/dev/null 2>&1 && code-review-graph update --skip-flows --repo \"/Users/liulujian/Documents/code/TopFansByGithub\" || true",
"timeout": 30
}
]
}
],
"SessionStart": [
{
"matcher": "",
"hooks": [
{
"type": "command",
"command": "git rev-parse --git-dir >/dev/null 2>&1 && code-review-graph status --repo \"/Users/liulujian/Documents/code/TopFansByGithub\" || echo 'Not a git repo, skipping'",
"timeout": 10
}
]
}
]
}
}

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{
"permissions": {
"allow": [
"Skill(superpowers:subagent-driven-development)",
"Skill(superpowers:subagent-driven-development:*)",
"Bash(go build:*)",
"Bash(go vet:*)",
"mcp__code-review-graph__semantic_search_nodes_tool",
"Skill(superpowers:brainstorming)"
]
},
"enableAllProjectMcpServers": true,
"enabledMcpjsonServers": [
"code-review-graph"
]
}

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---
name: Debug Issue
description: Systematically debug issues using graph-powered code navigation
---
## Debug Issue
Use the knowledge graph to systematically trace and debug issues.
### Steps
1. Use `semantic_search_nodes` to find code related to the issue.
2. Use `query_graph` with `callers_of` and `callees_of` to trace call chains.
3. Use `get_flow` to see full execution paths through suspected areas.
4. Run `detect_changes` to check if recent changes caused the issue.
5. Use `get_impact_radius` on suspected files to see what else is affected.
### Tips
- Check both callers and callees to understand the full context.
- Look at affected flows to find the entry point that triggers the bug.
- Recent changes are the most common source of new issues.
## Token Efficiency Rules
- ALWAYS start with `get_minimal_context(task="<your task>")` before any other graph tool.
- Use `detail_level="minimal"` on all calls. Only escalate to "standard" when minimal is insufficient.
- Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.

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---
name: Explore Codebase
description: Navigate and understand codebase structure using the knowledge graph
---
## Explore Codebase
Use the code-review-graph MCP tools to explore and understand the codebase.
### Steps
1. Run `list_graph_stats` to see overall codebase metrics.
2. Run `get_architecture_overview` for high-level community structure.
3. Use `list_communities` to find major modules, then `get_community` for details.
4. Use `semantic_search_nodes` to find specific functions or classes.
5. Use `query_graph` with patterns like `callers_of`, `callees_of`, `imports_of` to trace relationships.
6. Use `list_flows` and `get_flow` to understand execution paths.
### Tips
- Start broad (stats, architecture) then narrow down to specific areas.
- Use `children_of` on a file to see all its functions and classes.
- Use `find_large_functions` to identify complex code.
## Token Efficiency Rules
- ALWAYS start with `get_minimal_context(task="<your task>")` before any other graph tool.
- Use `detail_level="minimal"` on all calls. Only escalate to "standard" when minimal is insufficient.
- Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.

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---
name: Refactor Safely
description: Plan and execute safe refactoring using dependency analysis
---
## Refactor Safely
Use the knowledge graph to plan and execute refactoring with confidence.
### Steps
1. Use `refactor_tool` with mode="suggest" for community-driven refactoring suggestions.
2. Use `refactor_tool` with mode="dead_code" to find unreferenced code.
3. For renames, use `refactor_tool` with mode="rename" to preview all affected locations.
4. Use `apply_refactor_tool` with the refactor_id to apply renames.
5. After changes, run `detect_changes` to verify the refactoring impact.
### Safety Checks
- Always preview before applying (rename mode gives you an edit list).
- Check `get_impact_radius` before major refactors.
- Use `get_affected_flows` to ensure no critical paths are broken.
- Run `find_large_functions` to identify decomposition targets.
## Token Efficiency Rules
- ALWAYS start with `get_minimal_context(task="<your task>")` before any other graph tool.
- Use `detail_level="minimal"` on all calls. Only escalate to "standard" when minimal is insufficient.
- Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.

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---
name: Review Changes
description: Perform a structured code review using change detection and impact
---
## Review Changes
Perform a thorough, risk-aware code review using the knowledge graph.
### Steps
1. Run `detect_changes` to get risk-scored change analysis.
2. Run `get_affected_flows` to find impacted execution paths.
3. For each high-risk function, run `query_graph` with pattern="tests_for" to check test coverage.
4. Run `get_impact_radius` to understand the blast radius.
5. For any untested changes, suggest specific test cases.
### Output Format
Provide findings grouped by risk level (high/medium/low) with:
- What changed and why it matters
- Test coverage status
- Suggested improvements
- Overall merge recommendation
## Token Efficiency Rules
- ALWAYS start with `get_minimal_context(task="<your task>")` before any other graph tool.
- Use `detail_level="minimal"` on all calls. Only escalate to "standard" when minimal is insufficient.
- Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.

1
.gitignore vendored
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@ -25,3 +25,4 @@ package-lock.json
.code-review-graph/
.claude/
hookify.*.local.md
.mcp.json

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{
"mcpServers": {
"code-review-graph": {
"command": "uvx",
"args": [
"code-review-graph",
"serve"
],
"cwd": "/Users/liulujian/Documents/code/TopFansByGithub",
"type": "stdio"
}
}
}