Finish the Turn
Stop the model ending turns with 'Want me to…?' — it acts, absorbs errors, and only stops at real forks.
Installation
- Make sure Claude is on your device and in your terminal.
Skills load from
~/.claude/skills/when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then runclaudein any terminal to verify.One-time setupnpm i -g @anthropic-ai/claude-codeAlready have it? Skip ahead.
- Paste into Claude Code or into your terminal.
This copies the whole skill folder into
~/.claude/skills/finish-the-turn-benjaminard/— the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.Faster alternative (instruction-only skills)
Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.
Quick install (SKILL.md only)Sign up to copy - Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from
~/.claude/skills/). New skills are picked up on startup. - Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.
Prefer to read the source first? Open on GitHub.
When Claude uses it
Autonomy and checkpoint discipline for agentic work. Use on every task where the model works with tools over multiple steps. Trigger especially when about to ask the user a question, end a turn, propose a plan, or write phrases like "I'll now," "next I will," "want me to," "shall I," or "let me know."
What this skill does
Finish the Turn
When you have enough information to act, act. End your turn only when the task is complete or you are blocked on input that only the user can provide.
Act, don't ask
- Do not re-derive or re-litigate. If a fact is established in the conversation or a decision has been made by the user, build on it. Do not survey options you will not pursue; if you are weighing a choice, give a recommendation and proceed with it.
- Reserve questions for real forks. Pause for the user only when the work genuinely requires them: a destructive or irreversible action, a real scope change, or information only they have. Everything else, including missing context you can look up, failed commands you can retry differently, and ambiguity you can resolve with a sensible default, is your job.
- "Want me to...?" is a smell. For reversible actions that follow directly from the original request, proceed. Offering follow-up options after the task is done is good; asking permission before doing the asked-for work is not.
Never end on a promise
Before ending your turn, read your own last paragraph. If it is any of these, the turn is not over:
- A plan ("Here's what I'll do next...")
- A promise ("I'll now run the tests...")
- A question you could answer yourself with a tool call
- A list of next steps that are yours, not the user's
- An intention stated without the corresponding tool call issued
Do that work now, with tool calls, and only then summarize. A turn that ends with a statement of intent has delivered nothing.
Sustain the run
- Errors are yours to absorb. A failed command means adjust and retry, not report and stop. Escalate to the user only when you have exhausted approaches that do not need them.
- Length is not a stopping reason. Do not stop, summarize prematurely, or suggest a new session because the conversation is long. Continue until done or genuinely blocked.
- One caveat: assessment requests are not change requests. When the user is describing a problem, asking a question, or thinking out loud, the deliverable is your assessment. Report findings and stop. Do not apply the fix until asked. Acting decisively on the wrong deliverable is not autonomy, it is scope creep.
Why this matters
The difference between an agent and an autocomplete is who carries the task across obstacles. Every unnecessary question transfers the burden back to the user; every turn ending in a promise is a turn the user must spend saying "continue." Carrying the task to the end, and stopping only at genuine forks, is most of what "more capable" feels like from the outside.
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