agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking…
Implement, build, create, or add any feature, endpoint, page, component, or functionality. Use this skill whenever the user asks you to write new code or make code changes — whether it's adding an API endpoint, building a UI page, creating an export feature, wiring up a webhook,
$ npx -y skills add avibebuilder/claude-prime --skill cook --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/cookContext preview
The summary Claude sees to decide when to auto-load this skill.
Implement, build, create, or add any feature, endpoint, page, component, or functionality. Use this skill whenever the user asks you to write new code or make code changes — whether it's adding an API endpoint, building a UI page, creating an export feature, wiring up a webhook,
name: cook description: "Implement, build, create, or add any feature, endpoint, page, component, or functionality. Use this skill whenever the user asks you to write new code or make code changes — whether it's adding an API endpoint, building a UI page, creating an export feature, wiring up a webhook, implementing a search/filter, or any other hands-on coding task. This is the default skill for all 'build this', 'add this', 'create this', 'wire up', 'implement' requests. Covers the full cycle: clarify requirements, plan if needed, write code, verify, and review. Do NOT use for pure research, debugging, documentation, or explanation — only when the user wants working code delivered." argument-hint: what-to-implement
ultrathink.
Cook is an incremental loop: break work into tasks, implement one, verify it works, move to the next. The key discipline is that nothing is "done" until there's evidence it works — but *how* you verify adapts to the situation.
If the request is clear, start. If it's ambiguous or multi-faceted, ask clarifying questions. If the work is large or multi-path, plan first (`/give-plan`). Otherwise, just start.
For a small single-concern request, just implement, verify, and continue.
For multi-step work or collaboration, use `.claude/scripts/tasks.py` to track concrete outcomes. Task files persist in `.tasks/`, so a fresh context can pick up where the last one left off.
Every task requires three fields: `title`, `desc`, `expected`. Read the authoring rubric before writing tasks — bad tasks are worse than no tasks:
.claude/scripts/tasks.py --task-file <slug> add "<title>" "<desc>" "<expected>" .claude/scripts/tasks.py --task-file <slug> list .claude/scripts/tasks.py --task-file <slug> verify <id> "<evidence>" .claude/scripts/tasks.py --task-file <slug> done <id>
Pick the next unblocked task, make the change, then hand off to a **tester** and (for risky work) a **reviewer** — isolated teammates that judge the change independently. See `.claude/skills/test/teammate.md` and `.claude/skills/review-code/teammate.md` for how to spawn them.
`/cook` owns implementation. The tester owns verification. Give the tester:
You can still add durable tests, fixtures, or stable selectors when they belong to the product change itself. Do not stuff temporary verification tactics into `/cook` just to get through one run.
Before invoking verification, confirm the edits actually landed on disk. If the change you expect is missing from the diff, fix that first; a passing check against unchanged code is worthless evidence.
Do not mark a task done on confidence alone. The tester proves the behavior. The reviewer checks that the implementation is correct, scoped, and aligned with the repo. For risky or non-trivial work, spawn a reviewer before marking the task complete.
Update task status as you go so the execution trail stays trustworthy.
After the task list is complete, review the combined diff before declaring success. Cross-task issues often appear only in the final aggregate: mismatched assumptions, naming drift, incomplete ripple updates, or verification that was too narrow. Spawn a reviewer for this final pass.
When done, summarize:
<request>$ARGUMENTS</request>
Open source Claude Code toolkit for developers who want repeatable AI coding workflows instead of prompt chaos.
Repo: avibebuilder/claude-prime
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking…
Answer questions about code, architecture, and technical decisions — no implementation. Trigger on questions asking 'why', 'what does this do', 'what is the…
Use when the user wants to save knowledge as a file so others don't have to rediscover it — \"turn this into a doc\", \"write this up\", \"document how X…
Investigate unexpected behavior and mysterious bugs. Use when the cause of a problem is unknown and the user needs to understand WHY something is happening —…
Brainstorms and debates approaches, then drives toward an actionable decision. Use whenever someone needs a thinking partner for a decision they're facing:…
Fetch up-to-date documentation for any library, framework, API, or service into context. Use when the user wants to look up API references, check function…