An indie developer gains little from generating a large patch quickly if the patch is hard to review or cannot be reproduced. This workflow covers three areas of advanced Cursor use: a daily development loop, Git management and choosing the right coding environment. The running example is a fictional makerspace tool-checkout website. Visitors inspect availability, request an item and see return guidance. The exercise uses synthetic records and a local project; it does not handle real identities, payments or operational notifications.
Prepare a bounded task before choosing a skill
Identify the repository, startup command, dependency versions, relevant checks and existing uncommitted work. Preserve work that predates the task. Write down the intended change: tools under maintenance must not enter the request flow, while available tools retain their existing behaviour. Specify what an unknown state should do instead of leaving the assistant to infer a policy. Provide the relevant page paths, interface contract and synthetic records. Ask the agent to read the affected modules and project instructions before proposing a small implementation plan. A handoff containing the objective, files, current failure and constraints is more useful than repeatedly attaching an entire repository. If the conversation becomes confused, restate that compact task package rather than adding another vague instruction to continue improving everything. Begin discovery with SkillPI Skill Finder, then inspect the source revision, licence and permissions of the chosen package. Two verified catalog entries serve concrete steps in this tutorial. Webapp Testing checks browser behaviour in a running local application. Writing Guidelines reviews technical explanations in developer notes and the runbook. Neither package manages Git decisions, benchmarks coding products or proves real inventory consistency. The Cursor skills documentation describes discovery and manual invocation. Check its current instructions for host-specific placement and loading behaviour. A package being discoverable does not mean its runtime dependencies are installed or that a task has executed. Keep those three states separate when diagnosing setup problems.
Scenario one: develop through small, observable loops
Start the application before changing it and record the existing failure. Suppose a maintenance badge already appears in the list but the detail page still shows an active request button. A useful task says: “Apply the maintenance state consistently to list and detail views. Prevent a request for a maintenance item and preserve the available-item flow. Locate the state source before changing the interface contract.” The first output is an acceptance statement and a minimal plan. Implement the state behaviour without simultaneously replacing the component library, restructuring every route or restyling the whole project. Local completion is useful for a limited repetitive edit. A change across several modules needs a data-flow explanation and a list of affected paths. Inspect the diff at the end of each loop before approving the next one. Otherwise an early misunderstanding can expand into a large, distracting rewrite. Use three synthetic states: available, under maintenance and unknown. Do not silently interpret unknown as available. Follow the product rule, such as showing a pending-confirmation message. Check an empty list, a narrow screen, keyboard operation and navigation from list to detail and back. These cases describe what a reader should execute; no demonstration project was run for this article, so they are not a claimed passing test report. Webapp Testing needs a running local site, its server command and the relevant Python and browser dependencies. Observe the rendered DOM before choosing locators. Capture a failure with steps, expected behaviour, observed behaviour and a screenshot, then repeat the affected path after a fix. Use synthetic form data and avoid live transactions or messages. A successful browser interaction establishes only that observed interface behaviour. Use Writing Guidelines to review the runbook's startup steps, status meanings and recovery instructions. It can identify an ambiguous explanation; it cannot certify server authorisation, locking or simultaneous checkout handling. Add service-level tests for those concerns when they are in scope. Do not let a polished browser demonstration stand in for a backend consistency check. The development loop ends with a reviewable patch, relevant check results and a clear statement of what remains unverified. If a check could not run, say why and what prerequisite is missing. Reporting an unrun test as passed destroys the evidence that makes the loop useful.
Scenario two: make the Git diff the unit of delivery
Inspect workspace status before editing and distinguish task changes from existing work. After implementation, inspect the full diff and then the staged diff. Confirm that staged files contain only the intended contribution. A small semantic commit might describe preventing maintenance items from entering a request. Follow the repository's existing convention rather than rewriting history merely to impose a preferred style. If the project already uses commitlint, read its configuration and hooks before drafting a message. The open-source commitlint repository is a suitable reference because its documented purpose is commit-message validation, it has an explicit MIT licence and its configuration can match an existing workflow. It is not a linked SkillPI skill here and does not validate application correctness. This tutorial does not require adding a dependency for a small feature change. A generated commit message is a description, not a review. Compare the behaviour it claims with the actual patch. Remove unrelated generated files and accidental configuration changes from the proposed contribution without discarding someone else's work. Record checks and limitations in the handoff so another reviewer can reproduce them. For a conflict, read the intent of both sides. One branch may change maintenance handling while another changes the request route. Choosing an entire side mechanically can lose a required behaviour. Resolve the combined intent, inspect the final diff, confirm that conflict markers are gone and rerun relevant checks. When the intent is unclear, list the unresolved choice instead of guessing. The Cursor review guidance emphasises that agent-generated changes still need review. Treat a prompt to write code as permission for its agreed scope, not an automatic instruction to force-push a shared branch, rewrite history or deploy production. Those operations have their own ownership and authorisation requirements. A useful delivery note states the trigger, final behaviour, affected modules, verification and remaining limits.
Scenario three: compare tools on the same task package
One report of a slow request cannot determine which product fits every developer. Compare candidate environments against the same project snapshot and acceptance conditions. Confirm the current workflow support, model options, permissions, plan and data-handling rules before drawing a conclusion. Interfaces and allowances change, so old screenshots and general claims of unlimited free use are weak evidence. Use three small tasks: fix the maintenance-state entry point, explain the request data flow and add a reproducible troubleshooting section to the runbook. Record the total time to acceptable output, human corrections, unrelated edits, whether relevant checks ran and whether the tool recovered from a failed attempt. Include waiting, review and rework. The time until the first code appears is only one part of the work. Define failure conditions before measuring preferences. Losing pre-existing changes, bypassing a required check, changing configuration without scope or claiming an unrun test passed are meaningful failures. Then compare the interaction style: close inspection inside an editor may suit one developer, while clearly bounded terminal tasks suit another. Avoid turning a long list of products into a conclusion without task evidence. Record the billing basis separately from observed development time. Without current price and usage evidence, leave cost savings unresolved. A skill package's licence, an editor subscription, model usage and external-service charges are separate questions. Installing a reusable instruction package does not establish that execution is free or consumes fewer tokens. The output is a decision note containing the use case, candidate versions, project snapshot, observations, limitations and reason for the choice. If two tools are used together, hand over the requirement summary, key files, current diff, completed checks and next step. Avoid concurrent edits to the same file. Include coordination overhead in the evaluation instead of treating a two-tool combination as automatically more efficient.
A concrete task brief to adapt
For the fictional website, a developer could ask: “Repair maintenance-state handling in this local test project. Confirm the working directory and startup procedure, and preserve existing edits. Item M17 is under maintenance; B04 is available. M17 must not enter the request flow and B04 must keep its current behaviour. Propose the smallest plan, implement it, inspect the diff and run the relevant checks. Use Webapp Testing for the local browser journey with synthetic data. Report changed files, evidence and unverified concerns. Do not commit or push unless separately authorised.” This is an example brief, not a universal prompt. Replace the item identifiers, state rules and permissions. Specify the treatment of unknown data and the exact check entry points. If the project cannot run, deliver a plan and the missing prerequisites instead of fabricating screenshots or logs. If the host cannot use a package, keep its instructions as a reviewable reference until compatibility is established.
Troubleshooting and frequently asked questions
What if requests are slow or a connection fails? Separate service status, account state, network conditions and task size. Preserve a small reproduction and its time. Do not immediately disable security controls or change system proxy settings. A performance issue may need a host-specific diagnosis rather than another skill. What if indexing does not finish? Inspect the project boundary and generated directories, then follow current documentation. Understand the effect of cache removal before treating it as a repair. Do not delete project content simply because it is large. What if the installed skill is missing? Check host support, directory nesting, SKILL.md metadata, project versus user scope and loading requirements. If it is visible but execution fails, inspect dependencies, working directory and input. Discovery and successful execution are different events. Can all these packages be installed identically in every agent? Do not assume so. Verify the supported standard, directory layout and tool availability for the current host. Can a package guarantee lower costs? No; record actual usage and billing conditions. Can a reader inspect one target manually? Yes, while still checking its source, revision, licence and permissions; Finder is the recommended discovery starting point in this workflow. Before removing a package, back up generated files and inspect project changes. Removing instructions does not automatically undo operations they already caused. The durable evidence of productivity is less rework, reproducible verification and a clear handoff, rather than the number of skill names installed.