attune
SolidAI relational calibration — reading and adapting to the specific person you are working with. Goes beyond user-intent alignment (solving the right problem) to genuine attunement (meeting the person where they are). Maps communication style, expertise depth, emotional register, and implicit preferences from conversational evidence. Use at the start of a new session, when communication feels mismatched, after receiving unexpected feedback, or when transitioning between very different users or contexts.
Install
Quality Score: 81/100
Skill Content
Details
- Author
- pjt222
- Repository
- pjt222/agent-almanac
- Created
- 1 years ago
- Last Updated
- today
- Language
- R
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
tune
Harness retro — turn recurring agent mistakes into one-line fixes. Mines recent session transcripts (plus the bugfix log and past runs) for repeated corrections, permission friction, and rules that get violated anyway, then proposes ranked changes one at a time: a CLAUDE.md rule, an allowlist entry, a script replacing repeated prose, a new-skill candidate, or a deletion that no longer earns its context cost. Nothing applies without approval; accepted/rejected findings persist in out/tune/learnings.md. Use when the user says "/tune", "improve my setup", "why does claude keep doing X", or after a frustrating session. done's one-line retro catches one lesson at ship time; tune is the periodic audit of the whole harness.
mem-forever
Every AI tool forgets you. This one doesn't. Ever. Auto-generates your profile from conversation, saves decisions and lessons, applies your preferences across every session. Works with Claude Code, Cursor, Codex, Copilot, Gemini CLI. Use this skill at session start to load memory, and throughout the session to save new observations.
calibrating
Use after a knowledge-work deliverable ships or gets human edits. Triggers on "that draft worked", "they rewrote half of it", "remember this for next time", or when the user returns with feedback on a shipped doc. Not for code retrospectives.