session-wrap-upWrap up a conversation session before starting a new one. Use when the user says "wrap up", "wrap up this conversation", "session wrap up", or uses /session_wrap_up command. Flushes context to memory files, updates PARA notes, commits changes, and provides a summary.
Install via ClawdBot CLI:
clawdbot install branexp/session-wrap-upGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 1, 2026
A management consultant wraps up a client strategy session. The skill captures key decisions, action items, and client preferences in the daily log and updates project notes, ensuring continuity for follow-up meetings.
A developer concludes a coding session. The skill logs solved bugs, implemented features, and lessons learned to the daily log, updates open loops in PARA notes, and commits code changes for version control.
A researcher ends a collaborative discussion on a study. The skill documents hypotheses, data analysis methods, and resource findings in memory files, updating project progress and reference materials for future sessions.
A marketing team finishes a campaign planning session. The skill records ideas, decisions on branding, and tasks assigned, flushing context to daily logs and updating project areas to track ongoing creative work.
Offer this skill as part of a SaaS platform for professionals to organize session insights. Revenue comes from monthly subscriptions, with tiers based on storage and integration features like Git and PARA systems.
Provide a free version with basic wrap-up features and paid upgrades for advanced memory flushing, automated PARA updates, and team collaboration. Monetize through in-app purchases and enterprise licenses.
License the skill to companies for internal use in project management or customer support workflows. Customize it to integrate with existing tools like CRM or Git, generating revenue from one-time setup fees and annual maintenance.
💬 Integration Tip
Ensure Git is configured in the workspace for automatic commits, and set up PARA note directories in advance to avoid errors during updates.
Scored Apr 19, 2026
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, negative parallelisms, and excessive conjunctive phrases.
Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero,...
Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。 基于维基百科的"AI 写作特征"综合指南。检测并修复以下模式：夸大的象征意义、 宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、 AI 词汇、否定式排比、过多的连接性短语。
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Collaborative thinking partner for exploring complex problems through questioning