Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
日本語の概要は準備中です。原文の説明を表示しています。
Presents adaptive codebase challenge questions with multiple-choice and trace exercises. Use when testing contributor knowledge of the codebase.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Present challenges from the knowledge base and evaluate answers.
gauntlet:extract)gauntlet:onboard)Before generating a challenge, register the in-loop variation provider so we do not call out to the Anthropic API just to spawn a sibling Claude (issue #464). Outside Claude Code this is a no-op and the default Anthropic provider remains active.
from gauntlet.providers.in_loop import (
register_in_loop_provider_if_inside_claude_code,
)
register_in_loop_provider_if_inside_claude_code()
Load state: read .gauntlet/knowledge.json and developer
progress
Check for pending challenge: if
.gauntlet/state/pending_challenge.json exists, evaluate the
developer's most recent message as an answer before generating
a new one
Generate challenge: use adaptive weighting to select a knowledge entry and challenge type
Present challenge: show the question with context
Evaluate answer: score the response (pass/partial/fail)
Record result: update developer progress and streak
On pass: write pass token if from pre-commit gate. Show next challenge if in session.
On fail: show correct answer with explanation. Present a new challenge.
| Result | Score | Streak |
|---|---|---|
| Pass | 1.0 | +1 |
| Partial | 0.5 | reset |
| Fail | 0.0 | reset |
.gauntlet/knowledge.json exists and is readable before a
challenge is generated; if missing, the skill surfaces the error
and suggests running gauntlet:extract.gauntlet/state/pending_challenge.json is evaluated before
generating a new challenge when it exists; the file is removed
or updated after evaluationまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
日本語の概要は準備中です。原文の説明を表示しています。
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
日本語の概要は準備中です。原文の説明を表示しています。
Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
日本語の概要は準備中です。原文の説明を表示しています。
Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
日本語の概要は準備中です。原文の説明を表示しています。
Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
日本語の概要は準備中です。原文の説明を表示しています。