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dash-discover

Diagnoses latent architectural modernization opportunities across Dart and Flutter packages (language idioms, testing hygiene, CLI patterns, doc rot) and prescr

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Precio sin confirmar★ 144 Estrellas de GitHubRegistro actualizado · 9 oct 2026agent-skill

Resumen

Diagnoses latent architectural modernization opportunities across Dart and Flutter packages (language idioms, testing hygiene, CLI patterns, doc rot) and prescribes matching specialized skills.

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Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

Dash Discover (Meta-Skill)

The Meta-Skill Discovery Engine evaluates a Dart or Flutter project's architecture, language idioms, testing patterns, and documentation health to uncover latent modernization opportunities that standard static analysis passes ignore.

1. When to use this skill

Use this skill when:

Asked questions like: "Am I doing this right?", "Am I holding it right?", or "What skills should I use on this repository?"
Entering a new or unfamiliar Dart/Flutter repository and determining where to focus modernization effort.
dart analyze reports clean code (0 errors, 0 warnings), but the codebase may still harbor outdated pre-Dart 3 constructs, legacy matcher assertions, unstructured CLI entrypoints, or rotting doc examples.

2. Core Mental Model: The Analyzer Blindspot

Static analysis (dart analyze) verifies syntactic and semantic correctness, not architectural quality or modern idiomatic design. A package can pass dart analyze --fatal-infos with zero warnings while simultaneously:

Using 7-branch polymorphic else if (x is Y) cascades instead of concise Dart 3 switch expressions with pattern destructuring.
Relying on legacy package:test expect(actual, matcher) calls instead of fluent, type-safe package:checks.
Storing rotting, unverified code snippets in /// ``` doc comments instead of automated {@example} region testing.
Building ad-hoc monolithic 300+ line bin/main.dart entrypoints without package:args/command_runner.dart.

Dash Discover systematically identifies these latent gaps and points directly to the specialized skills equipped to remediate them.

3. Two-Tier Discovery Protocol

Tier 1: Fast Static Heuristics (<50ms)

Run the discovery CLI from anywhere in the workspace:

dart run dash_discover <path-to-target-package>

Or for structured machine ingestion:

dart run dash_discover <path-to-target-package> --json

The static scanner performs rapid, zero-network checks across 6 built-in rules:

Testing Architecture (dart-migrate-to-checks-package): Detects test or flutter_test in dependencies when checks is absent.
Dart 3 Language Idioms (dart-use-pattern-matching): Detects legacy else if (... is ...) type cascades and returning switch statements.
CLI Architecture (dart-build-cli-app): Detects ad-hoc bin/*.dart CLI entrypoints lacking structured argument parsing.
Cross-Platform Robustness (dart-use-path-package): Detects manual path string concatenation without package:path.
Testing Architecture (dart-generate-test-mocks): Detects handwritten fake or mock class definitions without mockito or mocktail.
Testing Architecture (dart-matcher-best-practices): Detects unidiomatic expect() assertions (e.g. expect(x.length, ...) or expect(x.isEmpty, true)).

Tier 2: Token-Efficient Outline Probing

To capture complex cross-cutting architectural patterns beyond regexes:

Generate the condensed repository outline (~1k tokens):

dart run dash_discover <path-to-target-package> --outline-only

The outline captures:
- pubspec.yaml (dependencies, dev-dependencies, SDK constraints).
- Shallow directory structure (up to 3 levels deep).
- Structural API signatures and class outlines (via sem entities lib/ --signatures).
Pass the generated prompt (--prompt-only) and outline to a fast model (such as Gemini Flash) along with the active skills catalog to evaluate semantic architectural fit with concrete file evidence.

4. Remediation Workflow

When dash-discover produces recommendations:

Triage by Lifecycle & Confidence:
- Focus on finite migrations first (e.g. core language modernization and testing migrations), prioritized by confidence and affected file count.
- Treat periodic hygiene audits (e.g. cognitive complexity, doc validation) as recurring sweeps rather than one-time migrations.
- Throttle ubiquitous recommendations (e.g. at most one test framework migration at a time).
Invoke Specialized Skills:
- For pattern matching: invoke dart-modern-features or dart-use-pattern-matching.
- For test assertions: invoke dart-migrate-to-checks-package.
- For doc rot: invoke dart-doc-validation or dart-use-doc-examples.
- For CLI architecture: invoke dart-build-cli-app.
Verify Empirically:
- Ensure tests continue to pass (dart test).
- Ensure analysis remains clean (dart analyze).

Ver fuente ↗

Metadatos del archivo

name: dash-discover
description: |-
  Diagnoses latent architectural modernization opportunities across Dart and
  Flutter packages (language idioms, testing hygiene, CLI patterns, doc rot)
  and prescribes matching specialized skills.
key_features:
  - Architectural Gap Diagnosis
  - Latent Modernization Discovery
  - Two-Tier Prescriptions & Evidence

Ver texto original

---
name: dash-discover
description: |-
  Diagnoses latent architectural modernization opportunities across Dart and
  Flutter packages (language idioms, testing hygiene, CLI patterns, doc rot)
  and prescribes matching specialized skills.
key_features:
  - Architectural Gap Diagnosis
  - Latent Modernization Discovery
  - Two-Tier Prescriptions & Evidence
---

# Dash Discover (Meta-Skill)

The Meta-Skill Discovery Engine evaluates a Dart or Flutter project's
architecture, language idioms, testing patterns, and documentation health to
uncover latent modernization opportunities that standard static analysis passes
ignore.

---

## 1. When to use this skill

Use this skill when:
- Asked questions like: *"Am I doing this right?"*, *"Am I holding it right?"*,
  or *"What skills should I use on this repository?"*
- Entering a new or unfamiliar Dart/Flutter repository and determining where to
  focus modernization effort.
- `dart analyze` reports clean code (0 errors, 0 warnings), but the codebase may
  still harbor outdated pre-Dart 3 constructs, legacy matcher assertions,
  unstructured CLI entrypoints, or rotting doc examples.

---

## 2. Core Mental Model: The Analyzer Blindspot

Static analysis (`dart analyze`) verifies syntactic and semantic correctness,
not architectural quality or modern idiomatic design. A package can pass
`dart analyze --fatal-infos` with zero warnings while simultaneously:
- Using 7-branch polymorphic `else if (x is Y)` cascades instead of concise
  Dart 3 switch expressions with pattern destructuring.
- Relying on legacy `package:test` `expect(actual, matcher)` calls instead of
  fluent, type-safe `package:checks`.
- Storing rotting, unverified code snippets in `/// ``` ` doc comments instead of
  automated `{@example}` region testing.
- Building ad-hoc monolithic 300+ line `bin/main.dart` entrypoints without
  `package:args/command_runner.dart`.

Dash Discover systematically identifies these latent gaps and points directly to
the specialized skills equipped to remediate them.

---

## 3. Two-Tier Discovery Protocol

### Tier 1: Fast Static Heuristics (<50ms)

Run the discovery CLI from anywhere in the workspace:

```bash
dart run dash_discover <path-to-target-package>
```

Or for structured machine ingestion:

```bash
dart run dash_discover <path-to-target-package> --json
```

<!-- DISCOVERY_RULES_START -->
The static scanner performs rapid, zero-network checks across 6 built-in rules:
1. **Testing Architecture (`dart-migrate-to-checks-package`)**: Detects test or flutter_test in dependencies when checks is absent.
2. **Dart 3 Language Idioms (`dart-use-pattern-matching`)**: Detects legacy else if (... is ...) type cascades and returning switch statements.
3. **CLI Architecture (`dart-build-cli-app`)**: Detects ad-hoc bin/*.dart CLI entrypoints lacking structured argument parsing.
4. **Cross-Platform Robustness (`dart-use-path-package`)**: Detects manual path string concatenation without package:path.
5. **Testing Architecture (`dart-generate-test-mocks`)**: Detects handwritten fake or mock class definitions without mockito or mocktail.
6. **Testing Architecture (`dart-matcher-best-practices`)**: Detects unidiomatic expect() assertions (e.g. expect(x.length, ...) or expect(x.isEmpty, true)).
<!-- DISCOVERY_RULES_END -->

### Tier 2: Token-Efficient Outline Probing

To capture complex cross-cutting architectural patterns beyond regexes:
1. Generate the condensed repository outline (~1k tokens):
   ```bash
   dart run dash_discover <path-to-target-package> --outline-only
   ```
2. The outline captures:
   - `pubspec.yaml` (dependencies, dev-dependencies, SDK constraints).
   - Shallow directory structure (up to 3 levels deep).
   - Structural API signatures and class outlines (via `sem entities lib/ --signatures`).
3. Pass the generated prompt (`--prompt-only`) and outline to a fast model (such
   as Gemini Flash) along with the active skills catalog to evaluate semantic
   architectural fit with concrete file evidence.

---

## 4. Remediation Workflow

When `dash-discover` produces recommendations:
1. **Triage by Lifecycle & Confidence**:
   - Focus on finite migrations first (e.g. core language modernization and
     testing migrations), prioritized by confidence and affected file count.
   - Treat periodic hygiene audits (e.g. cognitive complexity, doc validation)
     as recurring sweeps rather than one-time migrations.
   - Throttle ubiquitous recommendations (e.g. at most one test framework
     migration at a time).
2. **Invoke Specialized Skills**:
   - For pattern matching: invoke `dart-modern-features` or `dart-use-pattern-matching`.
   - For test assertions: invoke `dart-migrate-to-checks-package`.
   - For doc rot: invoke `dart-doc-validation` or `dart-use-doc-examples`.
   - For CLI architecture: invoke `dart-build-cli-app`.
3. **Verify Empirically**:
   - Ensure tests continue to pass (`dart test`).
   - Ensure analysis remains clean (`dart analyze`).

Revisar el código fuente

Precio y costes de ejecución

Obtener el skill: Precio sin confirmar
Ejecutarlo: Requisitos sin confirmar. Consulta los costes del agente, API y servicios en la fuente.
Licencia: Apache-2.0
Precio sin confirmar: No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.

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Fuente del skill registrada

La ruta de instrucciones está registrada. No implica pruebas de ejecución, seguridad ni compatibilidad.

Revisar antes de instalar: Evitar instalación automática

Licencia: Apache-2.0

Dependency or permission surface needs review
Permission surface may require sandboxing
Falta aprobación de revisión por IA
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 144 stars, 16 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Abrir auditoría completa

Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.

Empieza con una tarea pequeña

1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

IndexadoRevisión estática

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente: kevmoo/dash_skills
Licencia: Apache-2.0
Versión: Unknown
Último push de GitHub: 12 sept 2026
Registro actualizado: 9 oct 2026
Ruta de instrucciones: skills/dash-discover/SKILL.md @ ea5aa8070cc6

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

63/100

Prometedor

Confianza

62/100

Solo sandbox

Auditoría

74/100

Requiere revisión

Abrir auditoría completa Ver informe de evaluación

Dependency or permission surface needs review
Permission surface may require sandboxing
Falta aprobación de revisión por IA
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 144 stars, 16 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
Resultados: —

Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.

Acceso para agentes

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Abrir API de instalación Formato de texto LLM Abrir Manifest Plan de resolución automática

Más detalles

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    "web": "https://www.openagentskill.com/skills/kevmoo-dash-discover",
    "api": "https://www.openagentskill.com/api/agent/skills/kevmoo-dash-discover",
    "audit": "https://www.openagentskill.com/skills/kevmoo-dash-discover/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=kevmoo-dash-discover&task=Use%20dash-discover%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20dash-discover%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20dash-discover%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/kevmoo-dash-discover/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/kevmoo-dash-discover"
  }
}

Para el creador

Fuente de la ficha

Indexado por Registry

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Esta ficha se indexó desde fuentes públicas y no está marcada como oficial hasta que se apruebe una reclamación de mantenedor.

Creador: kevmoo
Fuente: kevmoo/dash_skills
Indexado por: Índice comunitario de OpenAgentSkill

La atribución enlaza al repositorio público o al perfil del creador. Los creadores pueden reclamar la ficha para actualizar las señales de propiedad.

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Esta ficha Indexado por Registry se atribuye a kevmoo, pero aún no está marcada como oficial. Reclámala para añadir una señal de propietario verificado y hacer más fiables futuras actualizaciones de lanzamiento, instalación y auditoría.

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/kevmoo-dash-discover?metric=listed&label=Listed)](https://www.openagentskill.com/skills/kevmoo-dash-discover?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/kevmoo-dash-discover?metric=trust&label=Trust)](https://www.openagentskill.com/skills/kevmoo-dash-discover?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/kevmoo-dash-discover?metric=audit&label=Audit)](https://www.openagentskill.com/skills/kevmoo-dash-discover/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/kevmoo-dash-discover?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/kevmoo-dash-discover?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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