zift
- Repo stars 39
- Author updated Live
- Author repo awesome-omni-skill
- Domain
- AI
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @diegosouzapw · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools，默认拥有全部工具权限。
---
name: zift
description: Fast, semantic, and hybrid code search tool. Use when you need to find specific code patterns, u…
category: ai
runtime: no special runtime
---
# zift output preview
## PART A: Task fit
- Use case: Fast, semantic, and hybrid code search tool. Use when you need to find specific code patterns, understand architectural flows, or locate symbols across a large codebase using natural language, exact strings, or regular expressions..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Core Search Modes / 1. Semantic / Hybrid (Default) / 2. Exact Match (-e, --exact)” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Fast, semantic, and hybrid code search tool. Use when you need to find specific code patterns, understand architectural flows, or locate symbols across a large codebase using natural language, exact strings, or regular expressions.”.
- **02** When the source has headings, the agent prioritizes “Core Search Modes / 1. Semantic / Hybrid (Default) / 2. Exact Match (-e, --exact)” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Start with a small task and check whether the result follows “Core Search Modes / 1. Semantic / Hybrid (Default) / 2. Exact Match (-e, --exact)”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: zift
description: Fast, semantic, and hybrid code search tool. Use when you need to find specific code patterns, u…
category: ai
source: diegosouzapw/awesome-omni-skill
---
# zift
## When to use
- Fast, semantic, and hybrid code search tool. Use when you need to find specific code patterns, understand architectura…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Core Search Modes / 1. Semantic / Hybrid (Default) / 2. Exact Match (-e, --exact)” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies.The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "zift" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Core Search Modes / 1. Semantic / Hybrid (Default) / 2. Exact Match (-e, --exact)
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
}zift Skill
zift is a high-performance, local-first code search tool that combines semantic (vector) and lexical (FTS5) search.
Core Search Modes
1. Semantic / Hybrid (Default)
Uses natural language to find code by "meaning" or "intent".
zift "how do I handle database connections" .Best for: High-level architectural questions, finding unfamiliar logic.
2. Exact Match (-e, --exact)
Performs a literal, byte-perfect substring search.
zift -e "SearchResult { file_path" .Best for: Finding specific variable names, error strings, or boilerplate.
3. Regex Search (-r, --regex)
Uses Rust-powered regular expressions for pattern matching.
zift -r "pub (async )?fn" .Best for: Finding all instances of a pattern (e.g., all public functions).
Workflow
Indexing
Before searching, you must index the project. zift uses incremental indexing and will auto-refresh stale files on query, but a full initial index is recommended:
zift add .Filtering
Use the -l or --local flag to restrict results to the current working directory (useful in monorepos).
zift "auth logic" . --localArchitecture & Performance
- Local-first: All embeddings and indices stay on your machine (
~/.cache/zift). - GPU Accelerated: Uses Metal/GPU for embedding generation via
llama-cpp-2. - Hybrid RRF: Fuses semantic and lexical results using Reciprocal Rank Fusion (k=60) with Power-Law scaling (γ=2.5) for intuitive percentages.
- Speed: Exact and Regex searches skip the embedding phase and are near-instant (<50ms).
Troubleshooting
- Stale Index: If results seem old, run
zift add .again orzift forget .to reset. - Model Issues:
ziftdefaults tonomic-embed-text-v1.5. Ensure the model is downloaded to the cache directory.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review