Crate adk_skill 

adk-skill

AgentSkills parser, index, matcher, and runtime injection helpers for ADK-Rust.

Overview

adk-skill provides the core building blocks to load markdown instruction files, select relevant skills for a user query, and inject selected instructions into user prompts.

This crate is provider-agnostic and can be used through:

• adk-agent (LlmAgentBuilder::with_skills*)
• adk-runner (Runner::with_auto_skills)
• Direct API calls from custom runtimes

Supported File Conventions

Frontmatter Skill Files (.skills/**/*.md)

Each skill is a markdown file with YAML frontmatter:

---
name: code_search
description: Search source code quickly
tags: [code, search]
---
Use `rg --files` first, then `rg <pattern>`.

Rules enforced by parser:

• Opening and closing --- delimiters are required.
• name is required and must be non-empty after trim.
• description is required and must be non-empty after trim.
• tags is optional and empty/whitespace tags are dropped.

Instruction Convention Files

The index loader also discovers and ingests these markdown files:

• AGENTS.md and AGENT.md
• CLAUDE.md
• GEMINI.md
• COPILOT.md
• SKILLS.md
• SOUL.md (root-level)

For these files, frontmatter is optional:

• If valid frontmatter is present, it is used.
• Otherwise the file is parsed as plain markdown instructions and converted into a skill document with convention tags (for example agents-md, claude-md).

What The Crate Does

1. Discovery

• Scans <root>/.skills/ recursively for frontmatter skills.
• Scans <root> recursively for supported convention files.
• Skips common heavy directories (.git, target, node_modules, etc.).
• Returns deterministic sorted file paths with de-duplication.

API: discover_skill_files(root) API: discover_instruction_files(root)

2. Parsing + Validation

• Strict path (.skills/**): parses required frontmatter as YAML with validation.
• Convention path (AGENTS.md, CLAUDE.md, etc.): parses plain markdown (or frontmatter if provided).
• Returns actionable errors with file path context for strict frontmatter paths.

API: parse_skill_markdown(path, content) API: parse_instruction_markdown(path, content)

3. Indexing

• Builds SkillIndex from discovered files.
• Computes:
  • content hash (SHA-256)
  • last_modified (Unix timestamp seconds when available)
  • stable document id: normalized-name + first-12-hash-chars
• Sorts documents deterministically by (name, path).

API: load_skill_index(root)

4. Selection

Selection is lexical and deterministic (no embeddings yet).

Scoring weights:

• name: +4.0 per token hit
• description: +2.5
• tags: +2.0
• body: +1.0

Score is normalized by sqrt(body_token_count) to reduce long-body bias.

Tie-break order:

1. Higher score first
2. Lexicographically smaller name
3. Lexicographically smaller path

API: select_skills(index, query, policy)

SelectionPolicy defaults:

• top_k = 1
• min_score = 1.0
• include_tags = []
• exclude_tags = []

5. Injection

Injection helpers prepend the selected skill body to user content using:

[skill:<name>]
<skill body>
[/skill]

Then original user text follows.

Behavior:

• Injection runs only when Content.role == "user".
• Query text is extracted from text parts and joined with newlines.
• Only the top match is injected.
• Injected body is truncated to max_injected_chars.

APIs:

• select_skill_prompt_block(...)
• apply_skill_injection(...)
• SkillInjector / SkillInjectorConfig
• SkillInjector::build_plugin(...)
• SkillInjector::build_plugin_manager(...)

Quick Start

Load and Match Skills

use adk_skill::{SelectionPolicy, load_skill_index, select_skills};

let index = load_skill_index(".")?;
let policy = SelectionPolicy {
    top_k: 1,
    min_score: 0.1,
    include_tags: vec![],
    exclude_tags: vec![],
};

let matches = select_skills(&index, "find TODO markers in code", &policy);
for m in matches {
    println!("{} ({:.2})", m.skill.name, m.score);
}

Inject Into User Content

use adk_core::Content;
use adk_skill::{SelectionPolicy, apply_skill_injection, load_skill_index};

let index = load_skill_index(".")?;
let policy = SelectionPolicy { min_score: 0.1, ..SelectionPolicy::default() };
let mut content = Content::new("user").with_text("Search this repository for TODO markers");

let matched = apply_skill_injection(&mut content, &index, &policy, 1500);
if let Some(m) = matched {
    println!("Injected skill: {}", m.skill.name);
}

Build A Plugin Manager

use adk_skill::{SkillInjector, SkillInjectorConfig};

let injector = SkillInjector::from_root(".", SkillInjectorConfig::default())?;
let plugin_manager = injector.build_plugin_manager("skills");

Error Model

Main error type: SkillError

• Io
• Yaml
• InvalidFrontmatter { path, message }
• MissingField { path, field }
• InvalidSkillsRoot(path)

Type alias: SkillResult<T> = Result<T, SkillError>

Current Limits

• No embedding/vector retrieval (lexical matching only).
• No incremental file reload API yet.
• No remote catalog (skills-ref/MCP) in this crate yet.
• No script/file reference execution layer in this crate (selection + injection only).

Related Examples

From this repository:

• examples/skills_llm_minimal
• examples/skills_auto_discovery
• examples/skills_policy_filters
• examples/skills_runner_injector
• examples/skills_workflow_minimal

Development

cargo test -p adk-skill

License

Apache-2.0

Structs

ParsedSkill

SelectionPolicy

SkillDocument

SkillFrontmatter

SkillIndex

SkillInjector

SkillInjectorConfig

SkillMatch

SkillSummary

Enums

SkillError

Functions

apply_skill_injection

discover_instruction_files

discover_skill_files

load_skill_index

parse_instruction_markdown

parse_skill_markdown

select_skill_prompt_block

select_skills

Type Aliases

SkillResult