Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Your agent repeats the same patterns without learning. inner-life-reflect adds self-reflection with trigger detection and quality gates — your agent observes...
Your agent repeats the same patterns without learning. inner-life-reflect adds self-reflection with trigger detection and quality gates — your agent observes...
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.
Self-reflection that actually works. No forced journaling, no filler. Requires: inner-life-core
Before using this skill, verify that inner-life-core has been initialized: Check that memory/inner-state.json exists Check that memory/habits.json exists If either is missing, tell the user: "inner-life-core is not initialized. Install it with clawhub install inner-life-core and run bash skills/inner-life-core/scripts/init.sh." Do not proceed without these files.
Without reflection, agents accumulate experience but never learn from it. They make the same mistakes, miss the same patterns, and their personality stays frozen. inner-life-reflect adds a trigger-based reflection system with quality gates. Your agent writes to SELF.md only when something meaningful happens — not on a schedule, not as routine filler.
SOUL.md = who you are (foundation, change only with user approval) SELF.md = who you're becoming (living observations) Schedule the check, not the content — checks can be periodic; entries must be genuine
Create/update SELF.md entry when: You were corrected on reasoning style or behavior pattern You noticed a repeated bias or avoidance pattern (>=2 times) You made a decision that clearly reflects preference or aversion You caught a blind spot that changed your behavior
Subtle tendency shift detected New tone pattern in interactions Mild preference signal from user If only soft triggers exist and quality is low: skip entry, 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 Novelty — not a duplicate of last 3 entries Usefulness — could influence future behavior If any check fails: no SELF entry, just state update.
Scan for hard/soft triggers. Does NOT auto-write — only decides if reflection is due.
Read last 7 daily logs + SELF.md Detect recurring shifts Update sections only if real change occurred
Write 3-5 sentence evolution narrative Compare against previous month Falsifiability check: if entries are stale/generic for a month, adjust trigger thresholds
Reads: inner-state.json, habits.json, drive.json, diary (latest) Writes: SELF.md, habits.json (when patterns crystallize into habits) During weekly review: Read habits.json → patterns with strength >= 3 are tendencies Read drive.json → seeking active > 2 weeks are interests Read diary for the week → sustained observations become entries
SELF.md is autonomous observation space SOUL.md is never auto-modified If SELF suggests SOUL changes: propose to user, do not auto-edit
Install this skill if: Your agent keeps making the same mistakes You want your agent to develop a personality over time Your agent's self-model is stale or nonexistent You want quality-gated reflection, not forced journaling Part of the openclaw-inner-life bundle. Requires: inner-life-core
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.