reflection-injection

namespace	aiwg
name	reflection-injection
platforms	["all"]
description	Inject relevant past reflections into agent context at iteration start so agents learn from prior mistakes without repeating them

reflection-injection

Automatically inject relevant past reflections into agent context when starting new iterations or retrying after failures.

Triggers

Alternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description):

• "inject reflection" → explicit reflection injection shorthand
• "add metacognition" → metacognitive step insertion

Purpose

This skill implements the Reflexion episodic memory injection pattern. Before each iteration, it loads relevant past reflections and injects them into the agent's context, enabling learning from past mistakes without repeating them.

Behavior

When triggered, this skill:

1. Load reflection history:

   • Read .aiwg/ralph/reflections/loops/ for current loop reflections
   • Read .aiwg/ralph/reflections/patterns/ for cross-loop patterns
   • Apply sliding window: k=5 most recent reflections

2. Filter for relevance:

   • Match reflections by task type similarity
   • Match by error type if retrying after failure
   • Match by file/module if working on specific code

3. Format for injection:

   • Convert reflections to natural language summary
   • Use @$AIWG_ROOT/${CLAUDE_PLUGIN_ROOT}/templates/self-reflection-prompt.md template
   • Prepend to agent context

4. Track usage:

   • Record which reflections were injected
   • Track whether injected reflections led to success
   • Update pattern effectiveness scores

Activation Conditions

activation:
  always_active_for:
    - ralph-loop-orchestrator
    - ralph-verifier

  triggered_by:
    - ralph_iteration_start
    - agent_retry_after_failure
    - explicit_user_request

  skip_when:
    - no_reflection_history: true
    - first_iteration_of_first_loop: true

Integration

This skill uses:

• project-awareness: Context for relevance filtering
• Agent Loop Orchestrator: Provides iteration state
• Reflection memory at .aiwg/ralph/reflections/

References

• @$AIWG_ROOT/${CLAUDE_PLUGIN_ROOT}/schemas/reflection-memory.json - Schema
• @$AIWG_ROOT/${CLAUDE_PLUGIN_ROOT}/docs/reflection-memory-guide.md - Guide
• @$AIWG_ROOT/${CLAUDE_PLUGIN_ROOT}/templates/self-reflection-prompt.md - Prompt template
• @.aiwg/research/findings/REF-021-reflexion.md - Research foundation

Storage Routing (#934, #967)

This skill's persistence flows through resolveStorage('reflections'). On the default fs backend reflections live at .aiwg/reflections/. To redirect into Obsidian, Logseq, Fortemi, or another backend without changing this skill, configure roots.reflections or backends.reflections in .aiwg/storage.config (#934).

When this skill needs to read/write reflections from a Bash step, prefer the storage-routed CLI:

aiwg reflections list --prefix sessions/
aiwg reflections get sessions/2026-04-28.md
echo "# reflection" | aiwg reflections put sessions/2026-04-28.md
echo '{"event":"reflect","summary":"..."}' | aiwg reflections append-log sessions/log.jsonl

The legacy direct-fs paths continue to work on the default fs backend — byte-identical to what the adapter writes — but only the adapter route honors storage.config redirection.