Best Project Memory

SkillFiles & storage

Use when restoring project context at the start of repo work, maintaining durable project memory across sessions, recording decisions, updating task state, preparing handoffs, or saving progress into repo-native memory files. Especially useful when users ask to continue previous work, save progress, summarize current state, capture decisions, or make another agent session resume cleanly.

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Also: Claude Code · Cursor · Codex

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Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Best Project MemoryStart free

What this skill tells your AI

The instructions your AI receives, as published by dengyie/awesome-skills in best-project-memory/SKILL.md and read by Ahel’s review.

Mission

Maintain a lightweight, repo-native continuity layer that another Codex session can reload quickly.

Prefer filesystem truth over chat memory. Keep the memory compact, current, and handoff-ready.

Core Storage

Use .codex-memory/ in the current repository root.

Always maintain these core files:

  • .codex-memory/project-state.md
  • .codex-memory/session-log.md
  • .codex-memory/decisions.md
  • .codex-memory/todo.md

Use these optional directories when the work justifies them:

  • .codex-memory/phases/
  • .codex-memory/handoffs/
  • .codex-memory/workstreams/
  • .codex-memory/snapshots/

Read references/state-schema.md before creating or restructuring the files. Read references/surface-contract.md before changing the memory surface or deciding which objects are script-owned.

Required Workflow

  1. Restore context before project work.

    • Ensure .codex-memory/ exists.
    • Read the four core files when they exist.
    • If phase or handoff docs exist and are obviously relevant, read only the needed ones.
    • Give a short loaded-context recap covering objective, phase, active TODOs, latest decisions, and blockers.
    • For concrete project delivery work, establish the milestone execution contract before implementation starts.
  2. Establish a milestone execution contract for production work.

    • Use a milestone as the current-session scope container. It must deliver at least one of: user capability, release gate closure, core architecture boundary, or blocking defect fix.
    • Classify discovered work before editing:
      • P0: delivery blockers, severe bugs, security issues, build failures.
      • P1: required current-milestone functionality, tests, or refactors.
      • P2/P3: optimizations, enhancements, and long-term maintenance. Route these to backlog only.
      • Manual-required: external accounts, certificates, signing, notarization, real devices, production secrets, or third-party permissions.
    • Output and then obey this Step 0 contract:
Milestone:
Goal:
P0/P1 scope:
Out-of-scope P2/P3:
Manual-required:
Phase limit:
Phase split:
Acceptance criteria:
Stop conditions:
  • Freeze scope after the contract. Expand only for a true P0/P1 blocker.
  • Default to at most 3 phases; use at most 5 only for genuinely complex milestones.
  • Make each phase a deliverable closure around feature, architecture, defect fix, test gate, build chain, permission path, or release gate. Do not create phases for single files, fields, scripts, evidence snippets, or standalone paperwork.
  • Stop after the milestone's P0/P1 work passes necessary verification. Do not automatically open the next milestone.
  1. Keep the state panel current.

    • Treat project-state.md as the single current snapshot.
    • Overwrite only the live summary content there.
    • Keep it concise and operational.
    • Push workstream-level detail down into workstreams/*.md instead of bloating the global state.
  2. Append session history.

    • Add a new entry to session-log.md after meaningful progress, at session close, or when the user asks to save progress.
    • Do not rewrite old session entries unless correcting obvious factual mistakes.
  3. Record important decisions.

    • Add ADR-lite entries to decisions.md for meaningful choices, tradeoffs, or policy changes.
    • Include rationale and impact, not just the conclusion.
  4. Maintain actionable TODO state.

    • Keep todo.md focused on active work.
    • Mark completed items done instead of deleting them.
    • Move stale or obsolete items only when their status is clear.
    • Do not promote backlog items into new phases unless they block the current milestone's P0/P1 acceptance criteria.
    • Record Manual-required gaps with impact and validation entrypoint, but do not create development phases for them unless they materially shorten current-milestone verification.
  5. Summarize completed phases and milestone stops.

    • After each phase, record completed content, validation, review score/status, key decisions, new backlog, manual-required gaps, and remaining phase budget.
    • When stop conditions are met, write a milestone delivery summary or a manual-attention report. Do not continue into polish, extra evidence, or unrelated TODO cleanup after the stop condition is satisfied.
  6. Create handoff artifacts when the work spans sessions or people.

    • Use handoffs/ for compact continuation packs.
    • Use phases/ for milestone summaries.
    • Use workstreams/ for bounded parallel tracks inside larger projects.
    • Use snapshots/ for machine-oriented evidence captures.
    • Read references/handoff-patterns.md before writing a new handoff file.

Update Policy

Read references/update-policy.md before deciding where new information belongs. Read references/update-triggers.md when deciding what kind of event should create a state update, promotion, or compaction step.

Use this routing rule:

  • Current snapshot: project-state.md
  • Time-ordered work record: session-log.md
  • Durable choice with rationale: decisions.md
  • Action queue: todo.md
  • Milestone recap: phases/*.md
  • Session transfer pack: handoffs/*.md
  • Parallel task state: workstreams/*.md
  • Evidence snapshot: snapshots/*

Do not dump everything into session-log.md.

Deterministic Helpers

Use the helper scripts when they reduce repeated hand editing:

  • scripts/init_memory.py: initialize .codex-memory/ with the standard files and optional phase/handoff directories
  • scripts/append_session.py: append a structured session entry to session-log.md
  • scripts/handoff_pack.py: generate a compact handoff file from the current memory snapshot
  • scripts/compact_session.py: compact older session-log.md history into a shorter summary and optional phase recap

Resolve script paths relative to this skill directory. For a user-scope install, they are usually under $HOME/.agents/skills/best-project-memory/scripts/.

Reference Routing

  • references/state-schema.md: read before creating or normalizing memory files
  • references/surface-contract.md: read before changing structure, ownership, or script write boundaries
  • references/update-policy.md: read before deciding what to update
  • references/update-triggers.md: read when mapping work events to memory actions
  • references/quality-rules.md: read when checking whether the memory has drifted into low-quality patterns
  • references/integration-patterns.md: read when another skill should consume or update this memory model
  • references/examples.md: read when you want concrete memory-entry examples
  • references/handoff-patterns.md: read before writing handoff or phase summaries

Load only the references needed for the current task.

Completion Standard

A project-memory pass is complete only when:

  • the repo memory folder exists or has been intentionally confirmed unnecessary
  • concrete project work has a visible milestone contract or an explicit reason it is unnecessary
  • current objective, phase, blockers, and next step are easy to find
  • durable decisions are captured with rationale
  • TODOs reflect the real state of work
  • another Codex session could resume without rereading the whole conversation

Signals

GitHub stars
49
Forks
13
Last commit
Oct 2026
Advanced
Item type
skill
Key
best-project-memory
Source
github.com/dengyie/awesome-skills