Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, passive voice, negative parallelisms, and filler phrases.
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。
coco-research/coco☆ 6712026年10月16日 更新
Use when writing or reviewing Flutter/Dart tests (unit, widget, golden), fixing flaky tests, adding coverage, or choosing between unit and widget tests.
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。
evanca/flutter-ai-rules☆ 6522026年10月10日 更新
Use when building any Flutter screen or component to choose responsive Row, Column, Expanded, Flexible, and Spacer layouts before fixed-size or coordinate-based alternatives.
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。
evanca/flutter-ai-rules☆ 6522026年10月10日 更新
Weekly. Confirms that the registrar, the host, and the hosted database still match what the inventory says, in one read only pass per project, and names every drift with the exact screen, the exact current value, and the exact intended value. It records that a variable exists and never its value, it fixes nothing inside an account, it buys nothing in any state, and it never rotates a key.
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。
markfulton/ai-employees☆ 6272026年10月15日 更新
Weekly. Scores the week from the ledgers with a source path beside every number and never writes a number it did not count in a file this run. It names exactly two things and files both as cards, the one fix worth doing next week and the one thing to stop, and it replays every learned browser flow once, read only, so a drifted selector is found on a Friday rather than on a Tuesday morning a routine needed it.
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。
markfulton/ai-employees☆ 6272026年10月15日 更新
Monthly, file work only, no browser at all. Re-reads a month of real change outcomes and rewrites the file that decides what the fix runner may change without asking first. A class the member merged unchanged repeatedly widens by exactly one step. A class they edited, closed unmerged, or that regressed narrows immediately. It never touches the outer boundary, which no volume of evidence can widen.
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。
markfulton/ai-employees☆ 6272026年10月15日 更新
Weekdays. Takes the one card the standup marked next and turns it into a reviewable change on a branch, never a deployment. It reads the project's own rules and docs first, makes the smallest change the card describes, runs that project's own gate, writes a change brief with the rollback in one line, and pushes the branch for the member to merge. It never merges, never deploys, never applies a migration, and never rotates a key.
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。
markfulton/ai-employees☆ 6272026年10月15日 更新
Monthly, and on its first run it is the whole setup, launched by hand. It discovers what the member actually runs by walking their code roots and reading the registrar, the host, and the hosted database, then writes the inventory, the domains file, the starting budgets, and the opening safe fix rules, seeds the board, builds the dashboard, and registers one scheduled job per routine. It creates no account, buys nothing, and provisions nothing.
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。
markfulton/ai-employees☆ 6272026年10月15日 更新
Weekly, browser heavy, read only on every screen. Fixes a scoring window that neither double counts nor loses an hour, reads the member's search performance console and analytics property, verifies each range actually applied before reading a figure, reconciles every number against what this Employee published, writes the week's scoreboard and the short rolling state file every other routine reads, and files what it found as cards rather than doing the work itself. It types nothing on any screen, changes no setting, publishes nothing, and never touches a credential.
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。
markfulton/ai-employees☆ 6272026年10月15日 更新
Create a small random Hugging Face model that preserves the original architecture and can serve as a local Optimum Intel repository test fixture.
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。
huggingface/optimum-intel☆ 6232026年10月15日 更新
Basic compiler conformance fixture.
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。
sno-ai/mda☆ 6212026年5月26日 更新
Minimal MDA source demonstrating relationship-graph footnotes and metadata.mda.* MDA-extended fields. Use as a reference fixture when learning the MDA source format.
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。
sno-ai/mda☆ 6212026年5月26日 更新
Test directory structure patterns by architecture style, language conventions, naming rules, and fixture placement. Decision tree for selecting test organization strategy.
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。
nWave-ai/nWave☆ 6202026年9月16日 更新
Use when a WINNING ad has to be scaled without breaking it — readiness checks, vertical scaling at plus 20 to 30 percent per step, horizontal scaling into new audiences, creatives, and channels, learning-phase reset risk, how Advantage+ and Performance Max behave when scaled, creative refresh cadence, and the signals that mean stop. Trigger on 'scale ads', 'increase the ad budget', 'scale a winner', 'CPA went up after I scaled', 'how fast can I scale', 'it worked at 50 a day and broke at 200'. Not for — fixing an account that is not working yet, see `03-performance-eval-global`; warm audience plans, see `56-retargeting-plan-global`; proving the winner first, see `19-ab-test-setup-global`.
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。
minhnv0807/ai-business-skills☆ 6192026年9月12日 更新
Use when the next period ADS plan must be built from last period results — read the report and the audit, keep and scale winners, stop or fix losers, set new test hypotheses, split budget, plan three budget scenarios, and schedule the creative pipeline. Trigger on 'next month ads plan', 'plan ads from the report', 'what should we run next month', 'Q4 ads plan', 'next quarter media plan', 'the month ended, now what'. Also use when a report and an audit both exist and no decisions have been made. Not for — the first media plan before any data, see `54-media-plan-global`; scoring the account, see `21-ads-audit-global`; the next period CONTENT plan, see `40-next-content-plan-global`.
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。
minhnv0807/ai-business-skills☆ 6192026年9月12日 更新
Use when conversion TRACKING must be set up or fixed before spending — Meta Pixel and Conversions API, Google Ads conversions with Enhanced Conversions, GA4, TikTok Pixel and Events API, server-side GTM, consent mode for GDPR and CCPA, UTM conventions, iOS ATT attribution windows, and a pre-launch verification checklist. Trigger on 'tracking setup', 'pixel setup', 'CAPI', 'GA4 events', 'conversions are not being recorded', 'Meta and Shopify numbers do not match'. Also use when launch is imminent and nothing has been verified. Not for — auditing a live account broadly, see `21-ads-audit-global`; analyzing data once it flows, see `13-data-analysis-global`; the campaign hierarchy, see `52-account-structure-global`.
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。
minhnv0807/ai-business-skills☆ 6192026年9月12日 更新
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
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。
ECNU-ICALK/AutoSkill☆ 6022026年5月10日 更新
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
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。
ECNU-ICALK/AutoSkill☆ 6022026年5月10日 更新
Use when implementing any feature or bugfix, before writing implementation code
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。
ECNU-ICALK/AutoSkill☆ 6022026年5月10日 更新
Generates user-facing changelogs and release notes from git commit history. Parses conventional commits, categorizes changes into features, fixes, breaking changes, and more, then rewrites technical messages into customer-friendly language. Use when the user asks to generate a changelog, write release notes, summarize recent commits, prepare CHANGELOG.md, or document what changed between versions.
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。
ECNU-ICALK/AutoSkill☆ 6022026年5月10日 更新
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
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。
ECNU-ICALK/AutoSkill☆ 6022026年5月10日 更新
Set up, repair, or verify the local AI short-video environment: video-use, FFmpeg, the Source Han Sans TW subtitle font, ElevenLabs credentials, and optional HyperFrames skills. Use whenever a user asks to install, configure, fix, reconnect, or check this editing environment. Do not use for Premiere or CapCut help, or to edit/transcribe media; hand those requests to the editing workflow after setup is verified.
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。
Jaycheng1103/chatgpt-video-editing-skills☆ 5902026年7月26日 更新
Apply test-driven development with small, behavior-focused feedback loops. Use when the user asks to build or fix something test-first, mentions red-green-refactor, or wants integration tests.
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。
stevesolun/ctx☆ 5872026年10月15日 更新
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
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。
stevesolun/ctx☆ 5872026年10月15日 更新