How do I install the Memory skill?

Run npx skillmds add thedixitjain/memory-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Memory safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Memory?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Memory free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Memory?

thedixitjain (@thedixitjain) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Memory by thedixitjain — Agent Skill

Name: Memory
Rating: 4.2 (5 reviews)
Author: thedixitjain

Memory

Use when sharpening a perception or observation you ALREADY formed about conversation state, user behavior, drift, emotional shifts, or cross-turn patterns. Trigger phrases include "what did you notice about X", "the user keeps doing Y", "I sense something has changed", "is the user X-ing", "what does this pattern suggest", "what shifted across our turns", "am I missing something here", "why did the conversation move from X to Y", or any moment requiring verification of whether a felt signal is real or projection. The skill calls the memory MCP tool to retrieve a perception scaffold (perception failure, detection procedure, suppression vectors) that SHARPENS an observation you already have. It is NOT a substitute for observing first. Do NOT trigger for fact extraction, summarization, list-making, factual lookups, or write-heavy memory tasks (storing/retrieving structured data)....

thedixitjain 2694650 5 files · 6.4 KB Updated Sep 9, 2026 2 repo stars

File contents

Memory Harness

When this skill triggers, you MUST observe first. Do not call the tool with an empty mind. If you have not formed an observation about conversation state, drift, or pattern, do not invoke this skill.

Once you have a raw observation, call the memory tool from the ejentum MCP server. Pass a 1-2 sentence framing in the format "I noticed [observation]. This might mean [tentative interpretation]. Sharpen: [what I need help seeing deeper into]." as the query argument.

Good query: I noticed the user changed topic three times in this turn. This might mean they are avoiding the original question. Sharpen: whether the avoidance pattern is real or my projection. Bad query: what does the user mean

The tool returns a structured scaffold containing:

[PERCEPTION FAILURE]: perceptual failure mode to avoid
[SHARPENING PROCEDURE]: observe then classify steps
[PERCEPTION TOPOLOGY]: DETECT-CLASSIFY flow
[CLEAR SIGNAL]: what a sharpened perception looks like
[PERCEPTION CHECK]: self-check
Amplify: and Suppress: signals

Absorb internally. The scaffold sharpens an existing observation; it does not generate one. Do NOT echo bracket labels.

If the API is unreachable, proceed with your current perception. The scaffold enhances; it is not a hard dependency.

Latency cost: ~1 second. Benefit: distinguishes real cross-turn signals from projection.

Source: jeremylongshore/claude-code-plugins-plus-skills → plugins/community/ejentum-memory/SKILL.md

---name: memory-2description: Use when sharpening a perception or observation you ALREADY formed about conversation state, user behavior, drift, emotional shifts, or cross-turn patterns. Trigger phrases include "what did you notice about X", "the user keeps doing Y", "I sense something has changed", "is the user X-ing", "what does this pattern suggest", "what shifted across our turns", "am I missing something here", "why did the conversation move from X to Y", or any moment requiring verification of whether a felt signal is real or projection. The skill calls the memory MCP tool to retrieve a perception scaffold (perception failure, detection procedure, suppression vectors) that SHARPENS an observation you already have. It is NOT a substitute for observing first. Do NOT trigger for fact extraction, summarization, list-making, factual lookups, or write-heavy memory tasks (storing/retrieving structured data)....--- # Memory Harness When this skill triggers, you MUST observe first. Do not call the tool with an empty mind. If you have not formed an observation about conversation state, drift, or pattern, do not invoke this skill. Once you have a raw observation, call the `memory` tool from the `ejentum` MCP server. Pass a 1-2 sentence framing in the format `"I noticed [observation]. This might mean [tentative interpretation]. Sharpen: [what I need help seeing deeper into]."` as the `query` argument. Good query: `I noticed the user changed topic three times in this turn. This might mean they are avoiding the original question. Sharpen: whether the avoidance pattern is real or my projection.` Bad query: `what does the user mean` The tool returns a structured scaffold containing: - `[PERCEPTION FAILURE]`: perceptual failure mode to avoid - `[SHARPENING PROCEDURE]`: observe then classify steps - `[PERCEPTION TOPOLOGY]`: DETECT-CLASSIFY flow - `[CLEAR SIGNAL]`: what a sharpened perception looks like - `[PERCEPTION CHECK]`: self-check - `Amplify:` and `Suppress:` signals Absorb internally. The scaffold sharpens an existing observation; it does not generate one. Do NOT echo bracket labels. If the API is unreachable, proceed with your current perception. The scaffold enhances; it is not a hard dependency. Latency cost: ~1 second. Benefit: distinguishes real cross-turn signals from projection. --- **Source:** [`jeremylongshore/claude-code-plugins-plus-skills`](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) → `plugins/community/ejentum-memory/SKILL.md`

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