session-reflection

name	session-reflection
description	Structured session analysis and project instruction refinement using a five-type intervention taxonomy (Correction, Repetition, Role Redirect, Frustration Escalation, Workaround) with severity scoring. Refines project instructions (CLAUDE.md, AGENTS.md) with structural language, maintains WORKING_STATE.md for crash recovery, and implements a self-reminder protocol to prevent role drift. Includes advisory-to-structural promotion for recurring gaps. Use after milestones, repeated user corrections, session restarts, crash recovery, every 5 completed tasks, or on request. Triggers on: "reflect on this session", "why do I keep correcting you", "update project instructions", "session retrospective", "crash recovery", "context compaction", "role drift", "analyze my corrections". Also relevant when noticing repeated corrections or resuming after compaction.
license	CC0-1.0
metadata	{"author":"jwilger","version":"2.1.1","requires":[],"optional":["memory-protocol","agent-coordination"],"context":["git-history"],"phase":"build","standalone":true,"constraint_resolution":true}
effort	medium

Session Reflection

Value: Feedback -- every user intervention is a signal that the system prompt is incomplete. Turning corrections into durable instructions creates compound improvement across sessions.

Purpose

Teaches agents to analyze session history for recurring corrections, generate project-specific instructions that prevent known failure modes, and maintain working state that survives context compaction and crashes. Transforms reactive corrections into proactive prevention.

Practices

Reflection Triggers

Reflect after: milestones (PR merged, feature complete), 3+ repeated corrections from the user, session restart or crash recovery, every 5 completed tasks, and on explicit user request. Do not wait for a "good time" -- reflect when triggered.

Analyze Session History

Examine conversation history, git log, memory files, WORKING_STATE.md, and session logs. Categorize each user intervention into one of five types:

• Correction: Agent did the wrong thing (instruction gap)
• Repetition: Agent was told the same thing again (emphasis gap)
• Role Redirect: Agent stepped outside its role (boundary gap)
• Frustration Escalation: User became more forceful (decay problem)
• Workaround: User did it themselves (skill gap)

See references/analysis-framework.md for detailed categorization and prioritization.

Generate or Refine Project Instructions

Route project-specific directives into the appropriate instruction file based on content type. There is no separate system prompt file — everything flows from CLAUDE.md → AGENTS.md → .team/coordinator-instructions.md:

• CLAUDE.md — Session management (startup procedure, compaction recovery, state tracking), harness-specific configuration
• AGENTS.md — General project rules, dos/don'ts, coding conventions, workflow configuration
• .team/coordinator-instructions.md — Coordinator/pipeline-controller role distinctions, build pre-flight gates, spawn discipline, domain review checklists

Refinement rules: add new items for new gaps, promote advisory to structural when gaps recur, rewrite ambiguous items for clarity. Never remove items until the gap is confirmed solved across 3+ sessions. See references/system-prompt-patterns.md for writing patterns and references/launcher-templates.md for harness-specific file routing.

Self-Reminder Protocol

See CONSTRAINT-RESOLUTION.md in the template directory for the consolidated self-reminder protocol (frequency, combined re-read list, and post-compaction rules).

Working State Persistence

Maintain WORKING_STATE.md as insurance against context compaction and crashes. Update after every significant state change. Always read before acting after any interruption. Location: .factory/WORKING_STATE.md (pipeline) or project root (standalone). See references/working-state-schema.md for format.

Do:

• Update on task start, phase change, decision made, blocker encountered
• Overwrite with current state (not append)
• Read FIRST after any interruption

Do not:

• Guess state from memory after a compaction or restart
• Use as a journal -- keep it concise and current
• Skip updates because "nothing important changed"

Post-Session Learning Loop

At session end: identify patterns from this session, update memory files, refine project instructions if triggers were hit, archive working state.

The loop closes when the same category of intervention stops recurring. If an intervention category persists across 3+ sessions after instruction refinement, escalate: the gap may require a new skill or a structural change to the workflow.

Enforcement Note

Advisory in all modes. Reflection triggers and instruction generation are self-enforced.

Hard constraints:

• Mandatory after context compaction: [H] -- context compaction destroys implicit state; re-reading is not optional.

Constraints

• "3+ repeated corrections": A "repeated correction" means the user corrected the same underlying behavior multiple times. Different phrasings of the same correction count as one correction repeated. Different corrections in the same category (e.g., two different formatting preferences) count separately.
• "Never remove instructions until confirmed solved across 3+ sessions": This prevents premature cleanup. An instruction that hasn't triggered in 3 sessions might be preventing the problem -- that's success, not staleness. Remove only when you have positive evidence the underlying behavior is fixed (e.g., the code pattern that caused the issue no longer exists).

Verification

After completing work guided by this skill, verify:

• Reflection performed at every trigger point (milestone, repeated correction, restart)
• User interventions categorized using the five-type taxonomy
• Project instructions refined with structural (not just advisory) language
• Directives routed to correct file (CLAUDE.md / AGENTS.md / coordinator-instructions.md)
• Self-reminder protocol followed (state re-read every 5-10 messages)
• WORKING_STATE.md current and accurate
• State re-read after every context compaction (not guessed)

If any criterion is not met, revisit the relevant practice before proceeding.

Dependencies

This skill works standalone. For enhanced workflows, it integrates with:

• memory-protocol: Persistent storage for session learnings and working state
• agent-coordination: Coordination patterns referenced in instruction generation
• pipeline: Pipeline controller benefits from self-reminder and crash recovery
• ensemble-team: Team retrospectives feed into session reflection analysis

Missing a dependency? Install with:

npx skills add jwilger/agent-skills --skill memory-protocol