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Query the cross-provider topic-memory corpus by keyword (and optional class) instead of grepping ~180 files. Use when you need to check "what have we learned about X" before solving a problem.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/vamseeachanta/workspace-hub --skill recallコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.
SKILL.md を表示中
SOC 職業分類に基づく
| name | recall |
| description | Query the cross-provider topic-memory corpus by keyword (and optional class) instead of grepping ~180 files. Use when you need to check "what have we learned about X" before solving a problem. |
| when_to_use | ["recall what we know about a topic","check prior lessons / feedback before implementing","have we hit this before","search memory / topics by keyword"] |
One provider-neutral mechanism (Claude / Codex / agy) to query .claude/memory/topics/
with identical, deterministic results. Stdlib-only; no dependencies.
Before solving a hard or recurring problem, recall prior lessons rather than
re-discovering them. Pairs with .claude/memory/topics/INDEX.md (the browseable index).
python3 scripts/memory/recall.py "git worktree race" # keyword(s)
python3 scripts/memory/recall.py worktree --class feedback --limit 10
python3 scripts/memory/recall.py --kw stash --kw rebase # repeatable keywords
On Linux with uv: prefix uv run --no-project.
Output is ranked by match count (desc), then filename (stable) — so every provider
sees the same ordered result set. --class filters by problem class
(feedback / project / reference / user / ...).
scripts/memory/build_topics_index.py → topics/INDEX.mdscripts/memory/curate_readback_slice.py (codex/gemini/hermes)scripts/memory/bridge-hermes-claude.sh (regenerates INDEX + slices)