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Humanize natural-language memory files (CLAUDE.md, todos, preferences, docs) by removing AI-isms and adding burstiness while preserving every code block, URL, path, command, and heading exactly. Two modes: --deterministic (fast, regex-based, no API) and LLM (default, calls Claude for...
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ChonSong/skill-retriever --skill unslop-file命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
AI-powered Draw.io diagram generation with real-time browser preview. Create flowcharts, architecture diagrams, sequence diagrams, and cloud infrastructure diagrams (AWS/GCP/Azure) using natural language. Supports animated connectors, real-time editing, and structured A–H format extraction from text or images.
Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success. Takes PRD to fully deployed, revenue-generating product with zero human intervention. Features Task tool for subagent dispatch, parallel code review with 3 specialized reviewers, severity-based issue triage, distributed task queue with dead letter handling, automatic deployment to cloud providers, A/B testing, customer feedback loops, incident response, circuit breakers, and self-healing. Handles rate limits via distributed state checkpoints and auto-resume with exponential backoff. Requires --dangerously-skip-permissions flag.
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this,"...
基于 SOC 职业分类
正在显示 SKILL.md
| name | unslop-file |
| description | Humanize natural-language memory files (CLAUDE.md, todos, preferences, docs) by removing AI-isms and adding burstiness while preserving every code block, URL, path, command, and heading exactly. Two modes: --deterministic (fast, regex-based, no API) and LLM (default, calls Claude for... |
| risk | unknown |
| source | https://github.com/MohamedAbdallah-14/unslop/tree/main/plugins/unslop/skills/unslop-file |
| source_repo | MohamedAbdallah-14/unslop |
| source_type | community |
| date_added | 2026-07-01T00:00:00.000Z |
| license | MIT |
| license_source | https://github.com/MohamedAbdallah-14/unslop/blob/main/LICENSE |
Use this skill when you need humanize natural-language memory files (CLAUDE.md, todos, preferences, docs) by removing AI-isms and adding burstiness while preserving every code block, URL, path, command, and heading exactly. Two modes: --deterministic (fast, regex-based, no API) and LLM (default, calls Claude for...
Rewrite natural-language memory files (CLAUDE.md, AGENTS.md, todos, preferences, docs) so they sound human-written: no sycophancy, no stock vocab, no five-paragraph essay shape, no tricolon padding. Everything technical stays exact: code blocks, inline code, URLs, file paths, commands, headings, tables.
Two modes:
--deterministic — fast regex pass that strips canonical AI-isms and tightens tricolons. No API call, no ANTHROPIC_API_KEY needed. Best for batch processing and CI.claude --print CLI fallback) to do a full rewrite that engineers burstiness, restructures performative paragraphs, and matches voice. Slower but better quality.Humanized version overwrites the original. A FILE.original.md backup is written first. Re-run after editing the .original.md to regenerate.
--mode)| Mode | What runs | Use when… |
|---|---|---|
subtle | Stock vocab only. | Structure is fine; you just want AI vocabulary gone. |
balanced | (Default.) Sycophancy, hedging, transitions, stock vocab, authority tropes, signposting, performative balance, em-dash cap. | Everyday docs / READMEs / CLAUDE.md. |
full | Balanced + filler phrases + negative-parallelism tricolons + stronger LLM prompt. | Marketing copy, release notes, slop-heavy LLM output. |
Use the deterministic pass to get a report, then fix anything that slipped:
humanize --deterministic --report audit.json doc.md # writes audit + humanized
humanize doc.md # optional LLM polish on top
audit.json lists every rule that fired, every before → after pair, and . Great for reviewing what the regex changed before trusting the diff to merge.
counts_by_rule/unslop-file <filepath>, /unslop:humanize <filepath>, or "humanize memory file", "de-slop this doc", "strip AI tone from this file".
The scripts live in a scripts/ directory adjacent to this SKILL.md.
Common layouts:
unslop/SKILL.md + unslop/scripts/skills/unslop-file/SKILL.md + skills/unslop-file/scripts/plugins/unslop/skills/unslop-file/SKILL.md + sibling scripts/Always prefer the scripts/ sibling of the currently loaded SKILL file.
Steps:
scripts/ sibling.python3 -m scripts <absolute_filepath> (LLM mode), or add --deterministic for the regex pass..original.md backup → humanize → validate (preserve check + AI-ism residual check) → on validation error: targeted fix call (LLM mode) → retry up to 2 times..original.md backup, exit 0.delve, tapestry, testament (praise form), navigate/embark/journey (figurative), realm, landscape (figurative), pivotal, paramount, seamless, holistic, leverage (filler verb), robust (filler), comprehensive (when "complete" works), cutting-edge, state-of-the-art (filler), interplay, intricate, vibrant, underscore(s)/d/ing (figurative), crucial, vital (role/importance/part), ever-evolving, ever-changing, in today's (digital) world/age, dynamic landscape.--mode full only): "in order to" → "to", "due to the fact that" → "because", "prior to" → "before", "with regard to" → "about", "a wide variety of" → "many", "at this point in time" → "now", "the fact that" → "that", etc.--mode full only): "No guesswork, no bloat, no surprises." — the rhetorical triple-no punch....) — every byte...)./src/, /etc/, C:\Users\...)npm install, git rebase, docker run)$HOME, ${NODE_ENV})Everything inside ``` ... ``` is read-only. No comment changes, no whitespace changes, no line reordering. Inline backticks: same. Code is the substrate; humanization only operates on prose between code regions.
| # | Before | After (deterministic, --mode balanced) |
|---|---|---|
| 1 | It's important to note that running tests prior to pushing changes is a comprehensive best practice. Additionally, it's worth mentioning that this can prevent broken builds. | Running tests before pushing changes is a broad best practice. This can prevent broken builds. |
| 2 | The application leverages a microservices architecture that comprises multiple discrete components. | The application uses a microservices architecture that comprises multiple discrete components. |
| 3 | At its core, caching trades memory for latency. | Caching trades memory for latency. |
| 4 | Let's dive in. Here is the first step. | Here is the first step. |
| 5 | The intricate interplay between caching and latency is crucial. | The detailed link between caching and latency is important. |
| 6 | In today's digital world, we ship fast. | Today, we ship fast. |
--mode full, additionally:| # | Before | After |
|---|---|---|
| 7 | We ran the tests in order to verify the fix. | We ran the tests to verify the fix. |
| 8 | The build failed due to the fact that the disk was full. | The build failed because the disk was full. |
| 9 | No guesswork, no bloat, no surprises. | (stripped) |
blader/unslop — Claude-Code skill listing 30+ AI tells; we incorporated the strongest signals.docs/research/IMPLEMENTATION_TRACE.md..md, .txt, .markdown, .rst, or extensionless natural language..py, .js, .ts, .json, .yaml, .yml, .toml, .env, .lock, .css, .html, .xml, .sql, .sh.FILE.original.md is written before overwrite. Never humanize a file already named *.original.md..env*, *.pem, *.key, ~/.ssh/, ~/.aws/, etc.) are refused before any read or API call.