diffler
Generates a graded comprehension quiz from the current Git branch diff, delivered in the terminal or through Google Forms. Useful for checking that a developer understands the changes before review or merge.
A Rust-based codebase search service for coding agents that finds keywords across many files and checks whether a match sits inside a specific syntax node such as a function, class, or struct. Ships as a skill and an MCP server.
Claude Code
> /plugin marketplace add jamestkelly/search-mesh> /plugin install search-mesh@search-mesh
Codex
$ npx skills add jamestkelly/search-mesh -a codex
Cursor
$ npx skills add jamestkelly/search-mesh -a cursor
Gemini CLI
$ npx skills add jamestkelly/search-mesh -a gemini-cli
GitHub Copilot
$ copilot plugin marketplace add jamestkelly/search-mesh$ copilot plugin install search-mesh@search-mesh
OpenCode
$ npx skills add jamestkelly/search-mesh -a opencode
Windsurf
$ npx skills add jamestkelly/search-mesh -a windsurf
Search-Mesh is a Rust-native codebase intelligence service for autonomous coding agents.
The goal is to reduce agent latency and token waste by moving repository search, syntax-aware filtering, context extraction, and precise patching into a local MCP-compatible process.
This repository is in early setup. The current focus is a small, correct MVP:
initialize lifecycle handshake, suitable for Claude Code, OpenCode, and other MCP-compatible agents.scan, backed by multi-keyword scanning.ast_probe, backed by tree-sitter for Rust, Python, JavaScript, and TypeScript.squeeze, that returns AST-bounded source blocks.patch, that applies precise line/column edits and reports syntax validity.SIMD acceleration, tree-sitter verification, semantic squeezing, and atomic patching are planned phases, not current guarantees.
scan: scan target directories for multiple keywords in one pass.ast_probe: validate raw hits against syntax tree node types.squeeze: return the smallest useful AST-bounded code block around a hit.patch: apply byte-offset edits and verify syntax after mutation.See docs/usage.md for local examples and docs/mcp-protocol.md for the draft protocol.
This repository is a self-hosted Claude Code plugin marketplace. It bundles the search-mesh MCP server registration and the agent skill together, so /plugin install wires up both in one step:
/plugin marketplace add jamestkelly/search-mesh
/plugin install search-mesh@search-mesh
On macOS and Linux, the plugin downloads and verifies the correct prebuilt search-mesh-mcp binary automatically the first time it's used — no separate install step. Windows isn't supported by the automatic installer yet; use cargo install search-mesh-mcp or a manual binary install there.
For OpenCode, or Claude Code configured manually rather than through the plugin, search-mesh-mcp needs to be on your PATH first.
search-mesh-mcp is published to crates.io and as prebuilt GitHub Release binaries.
Via cargo:
cargo install search-mesh-mcp
Via prebuilt binary: download search-mesh-mcp-<target>.tar.gz for your platform (macOS arm64, macOS x64, or Linux x64) from the Releases page, extract it, and put search-mesh-mcp on your PATH.
Add to .mcp.json at your project root:
{
"mcpServers": {
"search-mesh": {
"command": "search-mesh-mcp",
"args": []
}
}
}
Add to opencode.jsonc:
{
"mcp": {
"search-mesh": {
"type": "local",
"command": ["search-mesh-mcp"],
"enabled": true
}
}
}
The Claude Code plugin install above already includes this skill. To install it manually for other agents/setups, skills/search-mesh/SKILL.md teaches an agent when to prefer scan, ast_probe, squeeze, and patch over shell tools like grep, cat, and sed. Copy it into your own skills directory:
mkdir -p ~/.claude/skills/search-mesh
cp skills/search-mesh/SKILL.md ~/.claude/skills/search-mesh/SKILL.md
.claude-plugin/
plugin.json Claude Code plugin manifest.
marketplace.json Self-hosted marketplace catalog listing this plugin.
.mcp.json Bundled MCP server registration (used by the plugin).
crates/
search-mesh-core/ Core search, parsing, squeezing, and patching logic.
search-mesh-mcp/ JSON-RPC/MCP stdio server.
docs/
architecture.md System shape and phased design.
mcp-protocol.md Tool schemas and response shapes.
roadmap.md Near-term implementation plan.
usage.md Local MCP usage examples.
examples/
scan-request.jsonl Example newline-delimited JSON-RPC requests.
initialize-request.jsonl
ast-probe-request.jsonl
squeeze-request.jsonl
patch-request.jsonl
patch-target.txt
scripts/
search-mesh-mcp-launcher.sh Installs search-mesh-mcp on first use (macOS/Linux), then execs it.
skills/
search-mesh/SKILL.md Agent skill teaching when to use these tools.
Install Rust with rustup, then run:
just check
Equivalent commands:
cargo fmt --all -- --check
cargo clippy --workspace --all-targets -- -D warnings
cargo test --workspace
Pull requests and pushes to main run the Review workflow:
cargo fmt --all -- --checkcargo clippy --workspace --all-targets -- -D warningscargo test --workspaceReleases are prepared with release-plz from Conventional Commits:
release-plz opens a release PR that bumps Cargo.toml/Cargo.lock versions and updates the changelog.main creates a git tag and GitHub Release per changed package, and publishes both crates to crates.io.search-mesh-mcp-v* release is published, the Release Binaries workflow builds and attaches search-mesh-mcp binaries (plus a .sha256 checksum file for each) for macOS (arm64, x64) and Linux (x64) as release assets..unwrap() and .expect() outside tests.MIT. See LICENSE.
Generates a graded comprehension quiz from the current Git branch diff, delivered in the terminal or through Google Forms. Useful for checking that a developer understands the changes before review or merge.
A development methodology for coding agents that makes the agent brainstorm before building, follow plans, run parallel work and finish branches in a disciplined way. You get fewer skipped steps and more consistent results from your coding assistant.
Helps you take a change from a rough idea or bug report through to a tested, reviewed result, with each step handled by a focused skill. Its skills cover pinning down domain terms, designing module interfaces, diagnosing hard bugs, and reviewing changes against your repo's coding standards.
Gives your coding agent a planning, testing and review routine to follow on every task. It plans before building, checks changes with tests, has a fresh reviewer look for regressions, and saves repeated wins as reusable skills.
Developer tools for working on the React codebase itself. Provides skills for extracting error messages, managing and debugging feature flags across release channels, running Flow type checks, and fixing lint and formatting issues before committing.
A Rust-based codebase search service for coding agents that finds keywords across many files and checks whether a match sits inside a specific syntax node such as a function, class, or struct. Ships as a skill and an MCP server. Install it with the command on its page. It includes search-mesh. Its skills do not fire on their own yet. Free and open source.
Is this plugin yours?
Claim it with GitHubSubmit a pluginPromote it