agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…
Use when the user wants a written, reviewable plan or spec produced before coding starts. Triggers on: mapping out changes without implementing, thinking through risks of upgrades or migrations, evaluating approaches before committing to one, writing specs for team review,
Claude Code
$ npx -y skills add avibebuilder/claude-prime --skill give-plan --agent claude-code
Codex
$ npx skills add avibebuilder/claude-prime --skill give-plan -a codex -y
Cursor
$ npx skills add avibebuilder/claude-prime --skill give-plan -a cursor -y
Gemini CLI
$ npx skills add avibebuilder/claude-prime --skill give-plan -a gemini-cli -y
GitHub Copilot
$ npx skills add avibebuilder/claude-prime --skill give-plan -a github-copilot -y
OpenCode
$ npx skills add avibebuilder/claude-prime --skill give-plan -a opencode -y
Windsurf
$ npx skills add avibebuilder/claude-prime --skill give-plan -a windsurf -y
name: give-plan
description: "Use when the user wants a written, reviewable plan or spec produced before coding starts. Triggers on: mapping out changes without implementing, thinking through risks of upgrades or migrations, evaluating approaches before committing to one, writing specs for team review, phasing work into stages, or any request that explicitly defers coding ('don't implement yet', 'before we build'). The distinguishing signal is that the user wants a plan artifact — not implementation, not a conversational answer. MUST activates inside Claude's native plan mode to have a better planning behavior."
argument-hint: what-to-planultrathink
Figure out the right approach, write a plan the user can inspect, and **stop**. Planning is not approval to implement — wait for explicit go-ahead before writing any code.
If already in native plan mode, this skill shapes *how* to plan; plan mode provides the workflow structure and must follow this skill guidelines.
Check conversation context and skip completed steps.
What kind of plan? Scoped implementation, phased feature, migration/rollout, architecture decision, or spec artifact. Ask only the questions that matter.
Read relevant files and search the codebase before proposing changes. Be explicit about what's confirmed from code vs. inferred vs. unknown.
Don't force every request into the same template.
Match artifact to plan size — don't force `plans/*.md` on small scoped changes.
Use `date +%Y%m%d%H%M%S` for timestamps.
A strong plan covers: problem summary, recommended approach, phases/workstreams, affected files/modules/systems, dependencies and sequencing, validation strategy, risks and mitigations, assumptions and open questions, non-goals when useful.
Summarize the recommendation, call out risks/assumptions/unknowns, clarify what needs user confirmation, then wait. Do not drift into coding.
<request>$ARGUMENTS</request>
Open source Claude Code toolkit for developers who want repeatable AI coding workflows instead of prompt chaos.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…
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Ask which skill or flow fits your situation. A router over the skills in this repo.