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Workflow for maintaining workspace-hub knowledge and learning pipelines across scripts/knowledge, scripts/learning, and docs/superpowers, including indexing, archive synthesis, issue updates, and pipeline troubleshooting.
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 knowledge-pipeline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。
SKILL.md を表示中
| name | knowledge-pipeline |
| description | Workflow for maintaining workspace-hub knowledge and learning pipelines across scripts/knowledge, scripts/learning, and docs/superpowers, including indexing, archive synthesis, issue updates, and pipeline troubleshooting. |
| version | 1.0.0 |
| category | data |
| type | skill |
| trigger | manual |
| auto_execute | false |
| capabilities | ["knowledge_indexing","archive_synthesis","issue_update_automation","learning_pipeline_maintenance","knowledge_troubleshooting"] |
| tools | ["Read","Write","Bash","Grep"] |
| requires | [] |
| tags | ["knowledge","learning","pipeline","indexing","archive"] |
Use this skill when working on the repository's knowledge and learning flow across:
scripts/knowledge/scripts/learning/docs/superpowers/Typical tasks:
source material / session artifacts
-> scripts/knowledge/*
-> synthesized knowledge / issue updates / index artifacts
-> scripts/learning/*
-> reusable lessons, summaries, and pipeline maintenance
-> docs/superpowers/*
-> human-readable designs, plans, and reference docs
Primary operational scripts for knowledge handling. Common patterns include:
Relevant scripts on this machine include:
build-knowledge-index.shquery-knowledge.shsynthesize_archive.pyreview-open-issues.pyupdate-github-issue.pycheck-staleness.shLearning-stage automation and maintenance. Use this area when a workflow turns repeated observations into reusable process improvements.
Current anchor script:
scripts/learning/comprehensive-learning.shDesign and planning documentation that explains the higher-level workflow and intended system behavior. Use this as the narrative/spec layer when code behavior and intended pipeline behavior drift apart.
scripts/knowledge/ and scripts/learning/docs/superpowers/Prefer targeted tests where they exist. Examples in this repo include:
scripts/knowledge/tests/test_review_open_issues.pyscripts/knowledge/tests/test_synthesize_archive.pyscripts/knowledge/tests/test_update_github_issue.pyscripts/knowledge/tests/test-knowledge-scripts.shRun targeted validations such as:
uv run pytest scripts/knowledge/tests/test_review_open_issues.py -q
uv run pytest scripts/knowledge/tests/test_synthesize_archive.py -q
uv run pytest scripts/knowledge/tests/test_update_github_issue.py -q
bash scripts/knowledge/tests/test-knowledge-scripts.sh
docs/superpowers/ against actual script behaviorWrite 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.
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