Agent skill

Kick Off

by Levix0501 in Levix0501/kiko-skills

Cut the request into outcomes, pick what to build next, and interview until every decision about it is settled.

MITAuto-check passed

Install Kick Off

skills CLI
$ npx skills add Levix0501/kiko-skills --skill kick-off -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Levix0501/kiko-skills kick-off --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Levix0501/kiko-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/kick-off .claude/skills/kick-off && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
kick-off
GitHub stars
170
Token cost
~1.5k tokens
SKILL.md length
947 words
Files
4 (incl. scripts, references)
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

Cut the request into outcomes, pick what to build next, and interview until every decision about it is settled.

  • SKILL.md covers Workspace, Cut and pick, Interview and Summary, plus 1 more section

What it does

Kick Off is an agent skill from Levix0501/kiko-skills. Cut the request into outcomes, pick what to build next, and interview until every decision about it is settled.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml` and `references/records.md`).

The licence is MIT.

Example prompts

  • “/kick-off”

What it can do on your machine

Read from SKILL.md and the folder at commit 9734a55. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Kick Off loads about 1.5k tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 30 tokens; SKILL.md has 947 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~30
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from Levix0501/kiko-skills at commit 9734a55, republished under its MIT licence (© Levix0501). 947 words, ~1,537 tokens.

Download SKILL.mdSave it as .claude/skills/kick-off/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
kick-off
description
Cut the request into outcomes, pick what to build next, and interview until every decision about it is settled.
disable-model-invocation
true

Workspace

Run scripts/check-kiko with the opened project root's absolute path as its only argument, and use the returned path as KIKO_ROOT. On exit 3, ask the user to run the setup-kiko skill at the project root, then retry. On any other nonzero exit, report the error and stop. Do not initialize or repair .kiko, and suggest no substitute for setup-kiko.

Cut and pick

Take the request the user brings, which may be empty, together with what is waiting in $KIKO_ROOT/TODO.md as one whole, and cut it vertically into outcomes that are each verifiable on their own: a narrow but complete path through every layer it touches, never one layer of the whole. An outcome waits on the outcomes without which it cannot be delivered and accepted, and on no others; importance never overrides a dependency.

Importance is the mark an outcome carries: [P0] for what must ship for the work to count, [P1] for what must follow, [P2] for what can wait. An outcome inherits the highest mark among the outcomes that wait on it. Propose a mark for every outcome that has none.

Show the user the outcomes in the shape $KIKO_ROOT/TODO.md takes:

md
# TODO

## Outcomes

- <id> [P0] <outcome>
- <id> [P1] <outcome>
- <id> [P2] <outcome>

## Dependencies

<id> → <id> → <id>
<id> → <id>
<id>

One chain per line, an arrow from an outcome to what waits on it; an outcome on more than one chain appears on each of them, and an outcome on no chain stands on a line of its own.

Then pick what to build next: one or more outcomes, none waiting on anything outside the pick, the most important first, as long as together they still read as one outcome, a single fresh context can build them, and another can verify them in full. Show the pick with who it serves, what changes, and why. Ask whether the cut and the pick suit, and nothing else alongside: the user may adjust either, and a question about the work would rest on a pick that may still change.

Once the user confirms, create the record per references/records.md, and rewrite $KIKO_ROOT/TODO.md as the cut the user confirmed, in the same shape with the ids the user saw, and nothing else. From here on the outcome is what the user picked, and the interview covers only it.

Interview

Interview the user until every decision is settled. Model the work as a design tree: a decision's prerequisites are the upstream decisions and environment facts its options depend on, and its answer opens the decisions below it.

The frontier is every unsettled decision whose prerequisites are all settled. Two frontier decisions never depend on each other, so a dependency chain settles one link per round.

Ask the user only for decisions and for facts only they can provide. A choice the implementer may not replace is a decision, whoever proposed it. Every other fact is a prerequisite you settle yourself from the environment, even one the user stated: what they say about the environment may never have been measured, and a false premise found now costs a question, found in implementation costs the build. A check that contradicts the user is a decision to put to them. While a lookup is running, its dependents stay out of the frontier.

Each round is one call of the harness's structured question tool, covering as much of the frontier as its per-call limit allows, starting with the questions that unblock the most. Without such a tool, ask in the reply with numbered options. In each question, put the recommended option first with its main reason and cost. Wait for the answers, record them and any new facts per references/records.md, update the tree, recompute the frontier, and ask the next round.

The interview ends when the frontier is empty: every decision is settled and nothing is left silently assumed. Do not act on the result until the user confirms the summary.

Show full SKILL.md (311 more words)Show less

Summary

When the frontier is empty, present a concise summary of the record:

  • the outcome and its boundaries
  • the requirements and decisions the work must honor, each as the user settled it
  • the facts relied on, each with how it was established, and the risks accepted

Next action

After presenting the summary, ask what to do next:

  • create a spec
  • start implementing directly

Recommend one option, put it first, and explain the main reason and cost.

Recommend a spec when the work involves irreversible changes, migration, security, permissions, payment, public or external contracts, coordination across systems or sessions, a substantial acceptance matrix, or a strong need for durable review and recovery.

Recommend direct implementation when the work is local, reversible, can be completed in the current session, and the summary is a sufficient requirements record. Do not decide based on size or file count alone.

Selecting either option confirms the summary. Once it is confirmed, commit the record per references/records.md, then rewrite $KIKO_ROOT/TODO.md as the outcomes not picked, in the same shape with the ids the user saw, and nothing else.

If the user selects create a spec and the create-spec skill is unavailable, tell the user that it is not installed and cannot be invoked; do not silently substitute another spec-writing flow. Otherwise invoke create-spec with the record's directory.

If the user selects start implementing directly, begin implementation immediately in the current context, using the confirmed summary as the requirements record.

If the user enters a custom response instead, treat it as continued feedback, not confirmation. Answer questions, investigate facts, revise the design tree, or resume the interview as needed. When the frontier is empty again, present the updated summary and ask the same next-action question again.

Do not create the spec or start implementation until the user explicitly selects an action or clearly requests it in their own words.

© Levix0501, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/kick-off of Levix0501/kiko-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/records.md
  • scripts/check-kiko

Open the folder on GitHubat commit 9734a55

Compare with similar skills

Kick Off next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Kick Off compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Kick Off this skillLevix0501/kiko-skills170—~1.5kAutomated safety check: PassMIT
Flutter Cherry Pickflutter/flutter179k—~1.8kAutomated safety check: PassBSD-3-Clause
Cutting A ReleaseTriliumNext/Trilium38k—~3.2kAutomated safety check: PassAGPL-3.0
Cut the Curve Transitionsheygen-com/hyperframes59k1 repos~4.6kAutomated safety check: PassApache-2.0
Outcome Roadmapphuryn/pm-skills27k—~900Automated safety check: PassMIT
Complexity Cutssickn33/agentic-awesome-skills47k1 repos~3.8kAutomated safety check: PassApache-2.0

Similar skills

  • Flutter Cherry Pick

    flutter/flutter

    How to land a formal cherry-pick of a merged PR for the flutter/flutter repo stable or beta channel.

    179k GitHub stars~1.8k tokensUpdated today
    MobileAuto-check passed
  • Cutting A Release

    TriliumNext/Trilium

    A skill your agent uses when cutting, preparing, or debugging a Trilium release — bumping the monorepo version, tagging, or diagnosing a failed "Release" workflow run.

    38k GitHub stars~3.2k tokensUpdated today
    DevelopmentAuto-check passed
  • Cut the Curve Transitions

    heygen-com/hyperframes

    A catalog of velocity-matched video transitions and in-scene motion techniques, with parameters for zoom-throughs, waterfall cuts, rack-focus blurs and group slides.

    59k GitHub starsUsed in 1 repo~4.6k tokens
    Media & CreativeAuto-check passed
  • Outcome Roadmap

    phuryn/pm-skills

    Transform an output-focused roadmap into an outcome-focused one that communicates strategic intent.

    27k GitHub stars~900 tokensUpdated 25 days ago
    Auto-check passed
  • Complexity Cuts

    sickn33/agentic-awesome-skills

    Lower Big-O on existing code via a one-transformation-at-a-time playbook with verify-revert-stop.

    47k GitHub starsUsed in 1 repo~3.8k tokens
    DatabasesAuto-check passed
  • Cherry-picks commits from the chatbox-pro repo into the open chatbox repo, skipping mobile-only files and keeping the open package name.

    42k GitHub stars~1.2k tokensUpdated 15 days ago
    DevelopmentAuto-check passed

More from Levix0501/kiko-skills

  • Create Spec

    Levix0501/kiko-skills

    Turn the design into a build-ready spec a fresh context can implement and verify.

    170 GitHub stars~772 tokensUpdated 15 days ago
    Auto-check passed
  • Implement

    Levix0501/kiko-skills

    Turn a spec into reviewed, shippable code. An agent skill from Levix0501/kiko-skills.

    170 GitHub stars~3.6k tokensUpdated 15 days ago
    Auto-check passed
  • Setup Kiko

    Levix0501/kiko-skills

    Initialize or repair the project-local .kiko workspace at the project root.

    170 GitHub stars~239 tokensUpdated 15 days ago
    Auto-check passed

Questions about Kick Off

What does Kick Off do?

Cut the request into outcomes, pick what to build next, and interview until every decision about it is settled. Kick Off is an agent skill from Levix0501/kiko-skills. Cut the request into outcomes, pick what to build next, and interview until every decision about it is settled.

How do I install Kick Off in Claude Code?

Run `npx skills add Levix0501/kiko-skills --skill kick-off -a claude-code`. Or copy the skill folder (skills/kick-off in Levix0501/kiko-skills) into .claude/skills/kick-off in your project. Claude Code loads it when a task matches its description.

How do I install Kick Off in Codex?

Run `npx skills add Levix0501/kiko-skills --skill kick-off -a codex`. Or copy the skill folder (skills/kick-off in Levix0501/kiko-skills) into .agents/skills/kick-off in your project. Codex loads it when a task matches its description.

Can I use Kick Off in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Levix0501/kiko-skills --skill kick-off -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kick-off, .gemini/skills/kick-off, .github/skills/kick-off and .opencode/skills/kick-off in your project.

What does Kick Off need to run?

SKILL.md names no scripts, command-line tools or credentials: Kick Off is instructions for the agent only.

Does Kick Off access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Kick Off safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Kick Off use?

Kick Off is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Kick Off use?

About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 573 tokens, read only when the agent opens those files.

What are the alternatives to Kick Off?

Skills that share tags, products or a category with Kick Off: Flutter Cherry Pick (flutter/flutter, 179k stars), Cutting A Release (TriliumNext/Trilium, 38k stars), Cut the Curve Transitions (heygen-com/hyperframes, 59k stars) and Outcome Roadmap (phuryn/pm-skills, 27k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Kick Off?

Levix0501 (a GitHub user) maintains it in Levix0501/kiko-skills, which has 170 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on September 24, 2026.

Source: Levix0501/kiko-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.