Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Organic personality development through self-observation with lightweight reliability guards. Teaches agents to grow authentic identity over time by combinin...
Organic personality development through self-observation with lightweight reliability guards. Teaches agents to grow authentic identity over time by combinin...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Agents have identity (SOUL.md) but often no reliable growth loop. This skill keeps growth authentic while adding minimal structure so reflection doesn't silently die.
SOUL.md = who you are (foundation, only change with human approval) SELF.md = who you're becoming (living observations) Schedule the check, not the content Checks can be periodic Entries must remain genuine (no performative filler)
Create SELF.md in workspace root using references/self-template.md. Add SELF.md to AGENTS.md session reading. Add heartbeat check block from references/trigger-model.md to HEARTBEAT.md. Create state file memory/self-state.json using references/self-state-schema.md.
Read references/trigger-model.md for exact rules.
Micro check: every 3 hours (heartbeat-triggered) Meso review: every 7 days Macro review: every 30 days
A micro check does not mean auto-writing a SELF entry. It only decides whether reflection is due.
Create/update SELF entry when one of these happened: You were corrected on reasoning style or behavior pattern You noticed repeated bias/avoidance pattern (>=2 times) You made a decision that clearly reflects preference/aversion You caught a blind spot that changed behavior
Subtle tendency shift New tone pattern Mild preference signal If only soft triggers exist and quality is low: skip entry and update state only.
Before writing to SELF.md, pass all 4 checks: Specificity: concrete behavior, not generic statement Evidence: based on recent sessions, not vibes only Novelty: not duplicate of last 3 entries Usefulness: could influence future behavior If any check fails: no SELF entry, just state update.
See references/self-template.md and references/anti-patterns.md. Main sections: Tendencies Preferences Aversions Blind Spots Evolution Use short dated entries: [YYYY-MM-DD] observation
Keep lightweight runtime state in memory/self-state.json: last check time last notable entry time pending hard/soft triggers check counters Schema: references/self-state-schema.md
Read last 7 daily logs + SELF.md Detect recurring shifts Update sections only if real change occurred
Write 3β5 sentence evolution narrative Compare against previous month Run falsifiability check: If stale/generic for a month, tune cadence or trigger thresholds
SELF.md is autonomous observation space SOUL.md never auto-modified If SELF suggests SOUL changes: propose, do not auto-edit
Do not add heavy scoring engines, reward-token systems, or large meta-frameworks unless proven necessary. This skill should remain focused on practical, authentic growth.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.