Agentic Coding Platform Skills
Delegate whole tasks to an IDE agent — and verify everything it ships.
Turns your AI into a coding platform teammate — picks the right agent mode for each task, takes delegated briefs, splits multi-file changes into checkpoints, and proves every change with a verification loop before it ships.

Install it in 3 steps
No sign-up. No CLI tools. Pick your AI, copy one line, paste it over.
Prefer doing it yourself? Buy the skill ($4.99), download the ZIP from your checkout confirmation, unzip it into the directory shown above, restart your AI session — same result. Already bought it? Your AI assistant can download it for you.
What’s inside
One SKILL.md (the playbook) + one starter template. A preview:
Agentic Coding Platform Skills
When to use
- You work in an editor or IDE with built-in agent features and want to use them deliberately instead of clicking whichever mode is nearest
- A task spans many files — a refactor, a feature with backend plus frontend plus tests — and one-shot edits keep breaking something three files away
- You want to delegate whole tasks to the agent while keeping real control: you decide the brief, the checkpoints, and what counts as verified
- You have run two or more agents in parallel and watched them overwrite each other's work or solve the same problem twice
- Your agent's changes look finished but fail in ways a short verification pass would have caught
Workflow
- Choose the agent mode for the task (input: task → output: mode + reason)
Agent modes are not flavours — they are different permission levels. A question needs the lightest mode (read and answer, change nothing). A small fix needs edit mode on named files. A whole feature needs full agent mode with planning. Pick the lightest mode that can do the job and write down why: the mode decision is the first control, and it is made before the agent starts, not after it has already wandered. - Delegate with a task brief (input: task + mode → output: task brief)
Write the brief the way you would brief a capable colleague: goal, context, files in scope, files out of scope, constraints, and how success will be checked. Include what "done" excludes — "do not redesign the settings page, do not change the API shape." A brief without exclusions is an invitation to remodel the whole house while fixing a tap. - Split multi-file work into checkpoints (input: task brief → output: checkpoint plan)
Break the change into checkpoints that each leave the project working: first the data shape, then the logic, then the interface, then the tests. One checkpoint per coherent step, each with its own check. If a checkpoint cannot be described in one sentence, it is two checkpoints pretending to be one. The agent works checkpoint by checkpoint and stops at each — it never races ahead to "finish" while an early checkpoint is still red. - Run the verification loop (input: completed checkpoint → output: verification result)
Every checkpoint ends the same way: build, tests, and a manual look at the behaviour in the running app. The loop is build → test → observe → fix → repeat, and the checkpoint only passes when all three agree. A green test suite with a broken screen is not a pass; a working screen with a failing test is not a pass either. Verification is a loop, not a single command.
Template preview
Agentic Coding Platform — Task Brief Template
One task = one brief, one checkpoint plan, one verification trail.
Mode decision
Task: {one sentence}
Mode chosen: {read-only / edit / full agent} — Reason: {why this is the lightest mode that can do the job}
Task brief
Goal: {what the finished work does}
Context: {why now, what it connects to}
In scope: {files / areas the agent may change}
Out of scope: {files / areas it must not touch}
Constraints: {API shape, style, performance, compatibility — list}
Success check: {how we will know it works, in observable terms}


