Atlas / Skills / jeremylongshore / Cursor Local Dev Loop

Cursor Local Dev LoopSAFE

skills/jeremylongshore/cursor-local-dev-loop

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.19.0
Hosts
2 documented
License
MIT
Stars
2,823
01

Overview

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Read from source at commit 4f83675ca38aOBSERVED · 2026-10-08
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
cursormentioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: cursor-local-dev-loop
description: 'Optimize daily development workflow with Cursor IDE using Chat, Composer,
  Tab, and Git integration.

  Triggers on "cursor workflow", "cursor development loop", "cursor productivity",
  "cursor daily workflow",

  "cursor dev flow".

  '
allowed-tools: Read, Write, Edit, Bash(cmd:*)
version: 1.19.0
license: MIT
author: Jeremy Longshore <[email protected]>
tags:
- saas
- cursor
- workflow
compatibility: Designed for Claude Code
---
# Cursor Local Dev Loop

## Overview

Use Cursor inside the normal local development loop: small scoped change, inspect diff, run focused checks, commit reviewed work, and retain a rollback path.

## Prerequisites

- A clean or recoverable branch, repository instructions, and required local test/format commands.
- Approved privacy settings and exclusion of secrets, production exports, and unrelated repositories.

## Instructions

1. Start with a narrow issue and affected-file list, then use Chat/Inline Edit/Composer only for that scope.
2. Inspect every proposed diff and run the narrowest relevant formatter, test, and static check.
3. Commit one reviewed change at a time and use normal pull-request/branch rules for integration.
4. Revert rather than patching around an AI-generated regression when a focused check fails.

## Output

- A small reviewed local change with validation evidence and an ordinary git rollback path.

## Error Handling

| Condition | Safe response |
|---|---|
| Generated change is broad | Reject/split it before applying. |
| Test fails | Diagnose and revert or fix within scope; do not disable the test. |
| Working tree is mixed | Stash or commit unrelated user work before continuing. |

## Examples

Ask Inline Edit to update one function, inspect the diff, run that function's focused test, and commit it separately. If the test fails or unrelated files change, reject/revert and restate the task with tighter constraints.

Establish a productive daily development workflow using Cursor's AI features at each stage of the code-write-test-commit cycle.

## The AI-Augmented Development Loop

```
┌─────────────────────────────────────────────────────────────┐
│  1. PLAN        →  Chat (Cmd+L) with @Codebase, @Docs      │
│  2. SCAFFOLD    →  Composer (Cmd+I) for new files           │
│  3. IMPLEMENT   →  Tab completion for line-by-line coding   │
│  4. REFINE      →  Inline Edit (Cmd+K) for targeted fixes  │
│  5. TEST        →  Chat to generate tests, terminal to run  │
│  6. COMMIT      →  AI-generated commit messages             │
│  7. REVIEW      →  @Git for branch diff review              │
└─────────────────────────────────────────────────────────────┘
```

## Stage 1: Plan (Chat)

Start each task by discussing architecture with Chat:

```
@Codebase @Docs Prisma

I need to add a "favorites" feature where users can bookmark products.
What's the best approach given our current data model and API structure?
Consider: database schema, API endpoints, and frontend hooks.
```

Chat excels at:

- Architecture decisions before writing code
- Evaluating trade-offs (SQL join table vs JSON array, REST vs GraphQL)
- Understanding existing patterns via `@Codebase`

## Stage 2: Scaffold (Composer)

Once the plan is clear, use Composer for multi-file generation:

```
@src/api/users/route.ts @prisma/schema.prisma

Create the favorites feature:
1. prisma/schema.prisma: Favorite model (userId, productId, createdAt)
2. src/api/favorites/route.ts: GET (list user favorites), POST (add), DELETE (remove)
3. src/services/favorite.service.ts: FavoriteService with Prisma operations
4. src/hooks/useFavorites.ts: React hook with optimistic updates
Follow existing patterns from the users API.
```

**Tip:** Reference existing files with `@` so Composer replicates your patterns instead of inventing new ones.

## Stage 3: Implement (Tab Completion)

With scaffolded files open, use Tab for implementation details:

```typescript
// Open favorite.service.ts and start typing:
async toggleFavorite(userId: string, productId: string

// Tab completes the full method:
async toggleFavorite(userId: string, productId: string): Promise<Favorite | null> {
  const existing = await this.prisma.favorite.findUnique({
    where: { userId_productId: { userId, productId } },
  });
  if (existing) {
    await this.prisma.favorite.delete({ where: { id: existing.id } });
    return null;
  }
  return this.prisma.favorite.create({ data: { userId, productId } });
}
```

**Workflow tips for Tab:**

- Open related files in tabs (service, types, API route) -- Tab reads open tabs for context
- Write type signatures first -- Tab generates better bodies when types are explicit
- Accept partially with `Cmd+→` when the suggestion is 80% right

## Stage 4: Refine (Inline Edit)

For targeted improvements, select code and use `Cmd+K`:

```
Select the toggleFavorite method → Cmd+K:
"Add input validation: userId and productId must be non-empty strings.
 Add error handling for database connection failures.
 Return a Result type instead of throwing."
```

Other common Cmd+K workflows:

- `"Add JSDoc comments"` on a function
- `"Convert to async/await"` on a Promise chain
- `"Add null checks"` on a code block
- `"Optimize this query"` on a database call

## Stage 5: Test (Chat + Terminal)

Generate tests via Chat:

```
@src/services/favorite.service.ts @tests/services/user.service.test.ts

Generate vitest tests for FavoriteService following the same patterns as
user.service.test.ts. Cover: addFavorite, removeFavorite, toggleFavorite,
getFavorites with pagination. Mock Prisma client.
```

Run tests in the integrated terminal:

```bash
# Cmd+` to open terminal
npm test -- --watch src/services/favorite.service.test.ts
```

If tests fail, paste the error into Chat:

```
@src/services/favorite.service.ts
This test is failing with: "Expected null but received undefined"
[paste test output]
What's wrong?
```

## Stage 6: Commit (AI Messages)

Use Cursor's Source Cont
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-08 · audit v0.4.1 · source sha 4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__cursor-local-dev-loop.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-084f83675ca38aSAFEB89first audit
06

Questions

What does the Cursor Local Dev Loop skill do?

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Is Cursor Local Dev Loop safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Cursor Local Dev Loop access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does Cursor Local Dev Loop work with?

Its documentation mentions claude-code and cursor. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (4f83675ca38a), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.

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