When working on sensitive projects, proprietary code, or systems where context leakage is a concern. Use when the user says "protect this," "sensitive project," "don't leak," "sanitize output," "clean context," "proprietary," "confidential," or when working across multiple projects where context bleed between them could be problematic. Implements defensive patterns to prevent sensitive context from leaking into outputs, commits, or cross-project contamination.
EnglishWhen ending a session, consolidating memory, or when memory files feel stale or contradictory. Use when the user says "dream," "consolidate memory," "clean up memory," "merge notes," "memory maintenance," "what do you remember," "update your knowledge," "session end," or when memory/context files have accumulated noise over multiple sessions. Performs cross-session memory synthesis inspired by KAIROS autoDream.
EnglishWhen the user wants to find bugs, test edge cases, stress-test code, or perform adversarial analysis of their codebase. Use when the user says "find bugs," "break this," "what could go wrong," "red team," "hunt bugs," "adversarial test," "edge cases," "stress test," "what did I miss," "pen test this logic," or before any major release. Operates with red team psychology — assumes everything is broken until proven otherwise.
EnglishWhen the user wants to deeply understand a codebase, map its architecture, or build a persistent mental model for future sessions. Use when the user says "explain this codebase," "map the architecture," "codebase insight," "understand this repo," "what does this project do," "how does this work," "analyze the codebase," or when starting work on an unfamiliar project. Produces a persistent insight file that survives across sessions.
EnglishWhen the user needs accurate effort estimates for tasks, features, or projects. Use when the user says "how long will this take," "effort estimate," "estimate this," "scope this," "size this," "time estimate," "sprint planning," or when planning work. Unlike generic estimates, this skill calibrates against YOUR actual velocity — past estimates vs actuals — so estimates get more accurate over time.
EnglishWhen the user shows signs of frustration, impatience, or dissatisfaction. Also use proactively to calibrate tone. Triggers on phrases like "this isn't working," "why does this keep," "I already told you," "again?!", "just do it," "stop," "wrong," "that's not what I asked," "are you even listening," or any swearing/ALL CAPS. Detects frustration signals and fundamentally changes approach — not just tone, but strategy.
EnglishWhen starting or ending a work session, or when context files need maintenance. Use when the user says "boot up," "morning briefing," "end session," "session review," "what changed," "sync state," "kairos," "dream," "consolidate," "session start," or at the natural beginning/end of any significant work session. Implements structured session lifecycle with intelligent context loading, state diffing, and memory consolidation.
EnglishUse proactively after completing any task to suggest logical next steps. Also use when the user seems unsure what to do next, says "what now," "what else," "what should I do," "what's next," "continue," or pauses after a milestone. Anticipates what the user likely needs next based on context and proactively offers actionable suggestions.
EnglishWhen the user wants to review past decisions, understand why something was built a certain way, audit decision quality, or learn from past reasoning. Use when the user says "why did we," "look back," "thinkback," "decision review," "was that the right call," "what were we thinking," "review our decisions," "decision audit," "trace back," "replay thinking," or when revisiting old code and needing to understand the reasoning behind it.
EnglishWhen contributing to public or open-source repositories where AI attribution should be hidden. Use when the user says "stealth mode," "undercover," "no AI attribution," "hide AI," "contribute anonymously," "clean commits," "no co-authored-by," or when working on repos where AI involvement should not be visible. Strips all AI fingerprints from commits, PRs, code comments, and generated content.
EnglishIncludes Anti Distillation, Codebase Insight, Effort Estimate, and other workflows.
Supported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Anti Distillation
When working on sensitive projects, proprietary code, or systems where context leakage is a concern. Use when the user says "protect this," "sensitive project," "don't leak," "sanitize output," "clean context," "proprietary," "confidential," or when working across multiple projects where context bleed between them could be problematic. Implements defensive patterns to prevent sensitive context from leaking into outputs, commits, or cross-project contamination.
Autodream
When ending a session, consolidating memory, or when memory files feel stale or contradictory. Use when the user says "dream," "consolidate memory," "clean up memory," "merge notes," "memory maintenance," "what do you remember," "update your knowledge," "session end," or when memory/context files have accumulated noise over multiple sessions. Performs cross-session memory synthesis inspired by KAIROS autoDream.
Bughunter
When the user wants to find bugs, test edge cases, stress-test code, or perform adversarial analysis of their codebase. Use when the user says "find bugs," "break this," "what could go wrong," "red team," "hunt bugs," "adversarial test," "edge cases," "stress test," "what did I miss," "pen test this logic," or before any major release. Operates with red team psychology — assumes everything is broken until proven otherwise.
Codebase Insight
When the user wants to deeply understand a codebase, map its architecture, or build a persistent mental model for future sessions. Use when the user says "explain this codebase," "map the architecture," "codebase insight," "understand this repo," "what does this project do," "how does this work," "analyze the codebase," or when starting work on an unfamiliar project. Produces a persistent insight file that survives across sessions.
Effort Estimate
When the user needs accurate effort estimates for tasks, features, or projects. Use when the user says "how long will this take," "effort estimate," "estimate this," "scope this," "size this," "time estimate," "sprint planning," or when planning work. Unlike generic estimates, this skill calibrates against YOUR actual velocity — past estimates vs actuals — so estimates get more accurate over time.
Frustration Aware
When the user shows signs of frustration, impatience, or dissatisfaction. Also use proactively to calibrate tone. Triggers on phrases like "this isn't working," "why does this keep," "I already told you," "again?!", "just do it," "stop," "wrong," "that's not what I asked," "are you even listening," or any swearing/ALL CAPS. Detects frustration signals and fundamentally changes approach — not just tone, but strategy.
Kairos Session
When starting or ending a work session, or when context files need maintenance. Use when the user says "boot up," "morning briefing," "end session," "session review," "what changed," "sync state," "kairos," "dream," "consolidate," "session start," or at the natural beginning/end of any significant work session. Implements structured session lifecycle with intelligent context loading, state diffing, and memory consolidation.
Prompt Speculation
Use proactively after completing any task to suggest logical next steps. Also use when the user seems unsure what to do next, says "what now," "what else," "what should I do," "what's next," "continue," or pauses after a milestone. Anticipates what the user likely needs next based on context and proactively offers actionable suggestions.
Thinkback
When the user wants to review past decisions, understand why something was built a certain way, audit decision quality, or learn from past reasoning. Use when the user says "why did we," "look back," "thinkback," "decision review," "was that the right call," "what were we thinking," "review our decisions," "decision audit," "trace back," "replay thinking," or when revisiting old code and needing to understand the reasoning behind it.
Undercover Mode
When contributing to public or open-source repositories where AI attribution should be hidden. Use when the user says "stealth mode," "undercover," "no AI attribution," "hide AI," "contribute anonymously," "clean commits," "no co-authored-by," or when working on repos where AI involvement should not be visible. Strips all AI fingerprints from commits, PRs, code comments, and generated content.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Anti Distillation skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- Reported license for the skills shown: MIT. The author’s terms apply.