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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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Price unconfirmed★ 144 GitHub starsRegistry updated · Oct 9, 2026agent-skill

Overview

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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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dart analyze reports clean code (0 errors, 0 warnings), but the codebase may still harbor outdated pre-Dart 3 constructs, legacy matcher assertions, unstructured CLI entrypoints, or rotting doc examples.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).

View source ↗

File metadata

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

View original text

---
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`).

Review the source

Price & running costs

Get the skill: Price unconfirmed
Run it: Requirements have not been confirmed. Check the source for agent, API and service charges.
License: Apache-2.0
Price unconfirmed: We have not confirmed a price for this skill. Existing source and install links remain available.

Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: Apache-2.0

Dependency or permission surface needs review
Permission surface may require sandboxing
AI review approval is missing
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

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & usage notes

IndexedStatic Checked

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: kevmoo/dash_skills
License: Apache-2.0
Version: Unknown
Last GitHub push: Sep 12, 2026
Registry updated: Oct 9, 2026
Instruction path: skills/dash-discover/SKILL.md @ ea5aa8070cc6

Version reported in registry metadata; check source releases before relying on it.

Quality

63/100

Promising

Trust

62/100

Sandbox only

Audit

74/100

Needs review

Open full audit View eval report

Dependency or permission surface needs review
Permission surface may require sandboxing
AI review approval is missing
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: —
Outcomes: —

Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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    "manifest": "https://www.openagentskill.com/api/registry/manifest/kevmoo-dash-discover"
  }
}

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Creator: kevmoo
Source: kevmoo/dash_skills
Indexed by: OpenAgentSkill community index

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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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Overview

Dash Discover (Meta-Skill)

1. When to use this skill

2. Core Mental Model: The Analyzer Blindspot

3. Two-Tier Discovery Protocol

Tier 1: Fast Static Heuristics (<50ms)

Tier 2: Token-Efficient Outline Probing

4. Remediation Workflow

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