Search Tool Hierarchy
npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill search-hierarchy
Use the most token-efficient search tool for each query type.
Query Type?
├── STRUCTURAL (code patterns)
│ → AST-grep (~50 tokens output)
│ Examples: "def foo", "class Bar", "import X", "@decorator"
│
├── SEMANTIC (conceptual questions)
│ → LEANN (~100 tokens if path-only)
│ Examples: "how does auth work", "find error handling patterns"
│
├── LITERAL (exact identifiers)
│ → Grep (variable output)
│ Examples: "TemporalMemory", "check_evocation", regex patterns
│
└── FULL CONTEXT (need complete understanding)
→ Read (1500+ tokens)
Last resort after finding the right file
| Tool | Output Size | Best For |
|------|-------------|----------|
| AST-grep | ~50 tokens | Function/class definitions, imports, decorators |
| LEANN | ~100 tokens | Conceptual questions, architecture, patterns |
| Grep | ~200-2000 | Exact identifiers, regex, file paths |
| Read | ~1500+ | Full understanding after finding the file |
The grep-to-leann.sh hook automatically:
# STRUCTURAL → AST-grep
ast-grep --pattern "async def $FUNC($$$):" --lang python
# SEMANTIC → LEANN
leann search opc-dev "how does authentication work" --top-k 3
# LITERAL → Grep
Grep pattern="check_evocation" path=opc/scripts
# FULL CONTEXT → Read (after finding file)
Read file_path=opc/scripts/z3_erotetic.py
1. AST-grep: "Find async functions" → 3 file:line matches
2. Read: Top match only → Full understanding
3. Skip: 4 irrelevant files → 6000 tokens saved
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take parcadei/search-hierarchy from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.