Update README and docs/ to cover new features and changes in v2.20.0: - commands.md: Added /gsd quick, /gsd mode, /gsd help, /gsd skill-health, /gsd hooks, /gsd run-hook, gsd --debug flag. Reorganized into Session Commands, Configuration & Diagnostics, Git, and Session Management. - skills.md: Added Skill Lifecycle Management section covering telemetry, health dashboard (/gsd skill-health), staleness detection, and heal-skill post-unit analysis. - remote-questions.md: Added Telegram as a third channel alongside Slack and Discord, with setup instructions and bot requirements. - configuration.md: Added skill_staleness_days preference. - README.md: Added skill_staleness_days to key settings table, new Agent Instructions section, and Debug Mode section.
126 lines
5 KiB
Markdown
126 lines
5 KiB
Markdown
# Skills
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Skills are specialized instruction sets that GSD loads when the task matches. They provide domain-specific guidance for the LLM — coding patterns, framework idioms, testing strategies, and tool usage.
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## Bundled Skills
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GSD ships with these skills, installed to `~/.gsd/agent/skills/`:
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| Skill | Trigger | Description |
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|-------|---------|-------------|
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| `frontend-design` | Web UI work — components, pages, dashboards, styling | Production-grade frontend with high design quality |
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| `swiftui` | macOS/iOS apps — SwiftUI, Xcode, App Store | Full lifecycle from creation to shipping |
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| `debug-like-expert` | Complex debugging — after standard approaches fail | Methodical investigation with evidence gathering |
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| `rust-core` | Rust code — ownership, lifetimes, traits, async | Idiomatic, safe, performant Rust patterns |
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| `axum-web-framework` | Axum web apps — routing, middleware, extractors | Complete Axum development guide |
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| `axum-tests` | Testing Axum apps — integration tests, mock state | Test patterns for Axum applications |
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| `tauri` | Tauri v2 desktop apps — setup, plugins, bundling | Cross-platform desktop app development |
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| `tauri-ipc-developer` | Tauri IPC — React-Rust type-safe communication | Command scaffolding and serialization |
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| `tauri-devtools` | Tauri debugging — CrabNebula DevTools integration | Profiling and monitoring |
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| `github-workflows` | GitHub Actions — CI/CD, workflow debugging | Live syntax, run monitoring, failure diagnosis |
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| `security-audit` | Security auditing — dependency scanning, OWASP | Comprehensive security assessment |
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| `security-review` | Code security review — injection, XSS, auth flaws | Vulnerability-focused code review |
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| `security-docker` | Docker security — Dockerfile, runtime hardening | Container security best practices |
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## Skill Discovery
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The `skill_discovery` preference controls how GSD finds skills during auto mode:
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| Mode | Behavior |
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|------|----------|
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| `auto` | Skills are found and applied automatically |
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| `suggest` | Skills are identified but require confirmation (default) |
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| `off` | No skill discovery |
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## Skill Preferences
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Control which skills are used via preferences:
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```yaml
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---
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version: 1
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always_use_skills:
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- debug-like-expert
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prefer_skills:
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- frontend-design
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avoid_skills:
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- security-docker
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skill_rules:
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- when: task involves Clerk authentication
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use: [clerk]
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- when: frontend styling work
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prefer: [frontend-design]
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---
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```
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### Resolution Order
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Skills can be referenced by:
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1. **Bare name** — e.g., `frontend-design` → scans `~/.gsd/agent/skills/` and project skills
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2. **Absolute path** — e.g., `/Users/you/.gsd/agent/skills/my-skill/SKILL.md`
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3. **Directory path** — e.g., `~/custom-skills/my-skill` → looks for `SKILL.md` inside
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User skills (`~/.gsd/agent/skills/`) take precedence over project skills.
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## Custom Skills
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Create your own skills by adding a directory with a `SKILL.md` file:
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```
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~/.gsd/agent/skills/my-skill/
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SKILL.md — instructions for the LLM
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references/ — optional reference files
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```
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The `SKILL.md` file contains instructions the LLM follows when the skill is active. Reference files can be loaded by the skill instructions as needed.
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### Project-Local Skills
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Place skills in your project for project-specific guidance:
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```
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.pi/agent/skills/my-project-skill/
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SKILL.md
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```
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## Skill Lifecycle Management
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GSD tracks skill performance across auto-mode sessions and surfaces health data to help you maintain skill quality.
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### Skill Telemetry
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Every auto-mode unit records which skills were available and actively loaded. This data is stored in `metrics.json` alongside existing token and cost tracking.
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### Skill Health Dashboard
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View skill performance with `/gsd skill-health`:
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```
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/gsd skill-health # overview table: name, uses, success%, tokens, trend, last used
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/gsd skill-health rust-core # detailed view for one skill
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/gsd skill-health --stale 30 # skills unused for 30+ days
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/gsd skill-health --declining # skills with falling success rates
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```
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The dashboard flags skills that may need attention:
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- **Success rate below 70%** over the last 10 uses
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- **Token usage rising 20%+** compared to the previous window
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- **Stale skills** unused beyond the configured threshold
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### Staleness Detection
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Skills unused for a configurable number of days are flagged as stale and can be automatically deprioritized:
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```yaml
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---
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skill_staleness_days: 60 # default: 60, set to 0 to disable
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---
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```
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Stale skills are excluded from automatic matching but remain invokable explicitly via `read`.
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### Heal-Skill (Post-Unit Analysis)
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When configured as a post-unit hook, GSD can analyze whether the agent deviated from a skill's instructions during execution. If significant drift is detected (outdated API patterns, incorrect guidance), it writes proposed fixes to `.gsd/skill-review-queue.md` for human review.
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Key design principle: skills are **never auto-modified**. Research shows curated skills outperform auto-generated ones significantly, so the human review step is critical.
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