Към всички skills

coding-agent-sessions

code-yeongyu · Разработка

Finds, reads, and reconstructs coding-agent sessions across Codex, Claude, OpenCode, OMO/Senpi, and other local agent logs. Use when asked to find or search past sessions, transcripts, or subagent runs, or to recover what an earlier session did.

Оригинален текст · няма потвърден превод на български

Теми: ai · ai-agents · claude · claude-code · cli · codex · developer-tools · lazy · lazycodex · oh-my-openagent · omo · openai · orchestration · typescript

Първо прочетете инструкцията.

Файлът се зарежда от посочения източник само по ваше действие. Можете да го прочетете тук, да го копирате или да го запазите като .md.

Оригинален SKILL.md
GitHub хранилище
Звезди на репото
3602
Лиценз
MIT
Последна проверка на записа
22.09.2026 г.

Добавете в своя инструмент.

Командата отваря избора на skills от репозитория. Прочетете файла и условията на автора преди изпълнение.

npx skills add code-yeongyu/lazycodex

Страницата копира текст. Не инсталира и не изпълнява нищо на устройството ви.

Откъс от SKILL.md

Началото на файла на автора, без превод.

Coding Agent Sessions

Find local coding-agent sessions across agent products before answering from memory. Prefer the bundled finder for broad cross-platform search, then read the selected session or raw file when you need exact evidence.

PHASE 0 - PLATFORM ROUTER

  1. IF the user names a platform, load its reference first.

    PlatformRead
    Codex / OpenAI Codex CLIreferences/codex.md
    Claude Code / Claude Desktop historiesreferences/claude.md
    OMO / Senpi / pi coding-agent logsreferences/senpi.md
    oh-my-pi (omp, ~/.omp) and gajae-code (gjc, ~/.gjc) logsreferences/senpi.md
    OpenCode / oh-my-openagent (formerly oh-my-opencode) storagereferences/opencode.md
    OpenClaw, Droid, Amp, Gemini, Kimi, Qwen, Codebuff, Roo/Kilo/Cline, Kodu, Cursor CLI, Aider, Kiro, Goose, Hermes, Crush, Zed, Asidereferences/all-platforms.md
    Unknown / "any session" / cross-agent searchreferences/all-platforms.md
  2. Run the broad finder first unless the user gave an exact file path. For fuzzy recall, expand the query first.

When the user remembers a task vaguely ("that OpenCode bug", "the dashboard PR", "when did we fix X"), derive 3-6 short query lanes before searching: product/tool aliases, repo/package names, exact error text, issue/PR/session IDs, English/Korean phrasing, and likely verbs such as fix, review, plan, deploy, or merge. Run the lanes together with repeated --query so match_reasons shows which wording found the hit.

python3 scripts/find-agent-sessions.py list --limit 20
python3 scripts/find-agent-sessions.py find "commit" --from 7d --platform senpi --platform opencode
python3 scripts/find-agent-sessions.py find "proxy" --platform openclaw --platform droid --platform amp
python3 scripts/find-agent-sessions.py find "refactor" --platform oh-my-pi --platform gajae-code
python3 scripts/find-agent-sessions.py find --query "deploy" --query "token usage" --workers 64
python3 scripts/find-agent-sessions.py find --query "opencode bug" --query "fix opencode" --query "OpenCode parent session" --include-subagents --workers 64
python3 scripts/find-agent-sessions.py read <session-id>

Use python instead of python3 on systems where that is the available executable.

  1. Use explorer-style parallel lanes when one query batch is not enough.

Целият SKILL.md в GitHub