「repair」の検索結果

Diagnose why an existing implementation differs from reference evidence using AE/SSIM, pixel, section, computed-style, and transition diffs. Use for post-implementation mismatch or repair guidance; not baseline capture or full clone generation.

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。

Resolve repository documentation authority, repair reading paths and explanations, or shape a bounded public projection. Maintain docs after a bounded change when indirect reader promises, generated or paired sources, version/evidence boundaries, or unclear authority need attention. Ordinary known updates stay in normal development; not for isolated prose polishing, code review, or broad runtime audits.

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。

Maintenance for agent-flow context. Runs /doctor, /sync-context, /audit-risk, /repair-docs, /garden, /debt and /audit-lean; re-verifies context claims against the code before refreshing timestamps; turns repeated agent mistakes into mechanical checks. Use on a schedule, after merges flagged [CONTEXT_STALE], or when asked whether AGENTS.md is stale or the risk baseline needs review.

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。

Use to iterate a change until tests/quality checks pass — bounded run→revise→re-run gated by a numeric threshold, then a judge confirms. Triggers 'iterate to green', 'keep fixing until tests pass'.

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。

Use this Canvas-owned clean-room skill for creating, reading, editing, reviewing, redlining, commenting, or repairing Word `.docx` documents. Trigger for Word documents, DOCX files, memos, reports, letters, templates, tracked changes, comments, table of contents, headers, footers, page numbers, and Google Docs-targeted documents that should be authored as DOCX first.

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。

Use this Canvas-owned clean-room skill whenever a PowerPoint `.pptx` deck is an input or output. Trigger for creating, editing, reviewing, repairing, templating, combining, splitting, rendering, or extracting slide decks, including pitch decks, reports, speaker notes, template-following, and Google Slides-targeted handoff.

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。

壊れた GUID / fileID 参照を検出し、一意な置換先のみ `safe_fix`、それ以外は `decision_required` で保留する。ignore-guid file (`<scope>/config/ignore_guids.txt`) と allowlist branch 経由で noise を整理する。 トリガー: `validate_refs` で missing GUID / fileID が出た、Broken PPtr の調査。

Create or repair a project-local Inspector profile after INSPECTOR_PROFILE_REQUIRED, INSPECTOR_PROFILE_INCOMPLETE, INSPECTOR_PROFILE_INVALID, or PROFILE_AUTHORING_REQUIRED, using Unity component source, custom Inspector evidence, serialized surfaces, and validation diagnostics.

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。

Establish or audit a structural quality contract for any agent-operated engineering repository: app, library, CLI/tool, plugin, harness, or meta repo. Use when a repo needs charter clarity, docs/decision ownership, type-native validation gates, evidence paths, safe action policy, cold-start legibility, maturity proof, repair-loop routing, consumer/producer owner-boundary routing, command surface evolution, evolutionary simplicity (see references/evolutionary-simplicity.md), or a repo ecology pass to decide what should be compressed, merged, removed, updated, created, retired, or moved to checks.

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。

Master orchestration for repository governance, North Star impact, sub-Star boundaries, and repair-first or evidence-first drift checks. Guides an agent through the complete lifecycle of making architectural decisions, documenting them, writing FAQs, and cleaning up stale plans while adhering strictly to repo ethics and brand tone. Use whenever you need to make a structural change, write an ADR, update the doc lattice, or govern repository architecture.

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。

Initialize or repair the GEO-SEO Codex runtime for plugin and classic installer modes. Creates a Python virtual environment, installs requirements, verifies bundled scripts/templates, and explains optional PDF/browser dependencies.

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。

GStack QA method for web/UI behavior verification and narrow fix loops when the user explicitly allows QA to repair issues.

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。

Explicit compatibility adapter for repairing existing v1 Codex pets with 8x9 atlases. Not for new pets or v2/8x11 packaging; use the installed v2-capable pet skill for those 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。

Discipline for repairing a false claim once it has propagated: select what depends on it, produce a replacement, and accept with an expiring verdict. Trigger when: - A claim, citation, premise, or documented fact is found wrong and its downstream consequences must be traced and fixed. - A refutation, a failed re-run, a retracted external source, or a human correction lands against something already closed or already promoted. - Prompt contains: /remediation, remediation, retraction, false claim, propagated error, scrub, correction propagation, born-false, became-false, currency verdict, impeachment queue.

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。

Default material, information-density hierarchy, clean-rendering, negative-prompt hygiene, and evidence-preserving photo-repair layer for IM2 / GPT Image 2 / gpt-image-2 / image_gen. Use for clean generation/redraws, artifact cleanup, focal-detail control, atmospheric depth, physically coherent light paths, air scattering, volumetric light, light ratio, material realism, architecture/terrain/hard-surface scene mass and structural grounding, and 企业/公司活动/门店/团队合影/商品/餐饮/证件文档照片修复. Preserve identity, headcount, placement, product facts, text, logo, QR, date, price, and scene evidence; prefer residual blur over invented restoration detail.

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。

Production error → triaged, root-caused, repaired, and certified (tsc + rehearsal + reproduce-then-gone) fix PR for a human to merge — then confirm the error stops recurring. Never auto-merges.

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。

Production error → triaged, root-caused, repaired, and certified (tsc + rehearsal + reproduce-then-gone) fix PR for a human to merge — then confirm the error stops recurring. Never auto-merges.

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。

Use ruPet as a practical companion for Ruflo and ruvnet tool workflows, or improve ruPet creation and repair prompts. Use for requests that name ruPet or ask for its tool-aware guidance; ordinary tasks and merely displaying the pet do not need this skill.

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。

Review+fix protocol with optional pre-core git diff review and safety guardrails (unsoundness, invariants, footguns, incidental complexity). Use when prompts say "/tw-fix this PR", "fix current branch", "fix this diff", "repair CI red", or "apply a minimal patch", and when crash/corruption/invariant-break issues need correction with a validation signal. Stop only after self-review exhausts actionable changes, each full cycle reaches post-self-review rerun plus terminal diff-review closure, and two consecutive zero-edit full cycles are clean.

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。

Audit code, docs, tests, and registries against the Constitution, ADRs, and decision map without making broad repairs. Use when checking whether the repository is drifting away from accepted architecture.

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。

Run and interpret Clawix UI geometry, screenshot, protected-surface, and debt-baseline checks without authorizing visual repair.

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。

Knowledge base from the NIST/SEMATECH e-Handbook of Statistical Methods (NIST HB 151) — the practical statistics reference for engineering, metrology, and quality. Use for: exploratory data analysis and the four univariate assumptions (4-plot); measurement process characterization including bias/precision, calibration designs, gauge R&R, and ISO/GUM uncertainty budgets; production process characterization (stability vs. capability); process modeling and regression (LS/WLS/NLS/LOESS); design of experiments (screening, fractional/factorial, response-surface, Taguchi); statistical process control (Shewhart/CUSUM/EWMA charts, capability indices, acceptance sampling); product/process comparisons (hypothesis tests and confidence intervals for 1/2/3+ groups, ANOVA, multiple comparisons); and reliability (lifetime & repair-rate models, accelerated testing, reliability growth). Scope limits: this is applied frequentist statistics for measurement and quality — it does NOT reproduce the per-distribution formula galleries, worked case studies, datasets, plot images, or Dataplot/R code of the original web Handbook (those are described, not copied); it is thin on modern machine learning, Bayesian methods beyond conjugate reliability priors, time-series/forecasting, and Bayesian experimental design.

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。

Mojibake-Reparatur für doppelt/dreifach kodiertes UTF-8. Behebt Windows-cp1252/Latin-1-Fehlinterpretationen. Ohne Abhängigkeiten.

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。

Audit and repair a kohya-style LoRA dataset before training. Use when the user asks to check, validate, inspect, fix, clean, 体检, or 修 a dataset, captions, or tags. Inspect image count, repeats and step budget, resolution and aspect buckets, duplicates, corrupt or non-RGB images, missing or empty captions, trigger consistency, and tag-frequency hygiene. Return a structural PASS, WARN, or FAIL report and apply only confirmed fix_dataset.py actions, dry-run first with displaced originals quarantined.

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。