Class-level Gmail and email operations: multi-account setup, OAuth, triage, extraction, archiving, attachments, unsubscribe, and touchbase workflows.
Skills in this repository
vamseeachanta/workspace-hub - Page 2
SkillsMP has collected 3,441 skills from vamseeachanta/workspace-hub. Open a skill to review its source and details.
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Daily multi-account Gmail inbox triage — scan unread, classify by urgency, cross-reference contacts, generate actionable digest. Supports ace/personal/skestates accounts.
Layer 3 domain sub-skill for extracting naval architecture data from SNAME PNA, IMO stability codes, IACS structural rules, and classification society guidelines. Provides detection heuristics for stability constants, resistance equations, hull form…
Classify and extract structured content from engineering documents using a 3-layer taxonomy: generic content types, engineering patterns, and domain sub-skills. Use when ingesting standards, reports, or technical manuals into structured data for downstream…
Class-level external engineering domain reconnaissance: field development, external drive ingest planning, and source-to-artifact conversion.
Sanitize OrcaFlex models by stripping client-identifiable references, converting binary .dat to YAML .yml, and organizing into the reference model library.
OrcaFlex marine dynamic analysis — modeling, analysis, post-processing, and validation
Unit-safe engineering calculations with provenance tracking, dimensional consistency verification, and unit conversion across SI, inch, and metric systems.
Class-level GitHub issue lifecycle operations: issue creation, planning/execution routing, labels, evidence fields, roadmap anchors, closeout races, and visual planning.
Canonical names, abbreviations, and relationship vocabulary for the workspace-hub ecosystem. Load this when naming repos, modules, machines, files, or expanding acronyms to ensure consistency across humans and agents. type: reference
Plan safe external-drive ingests into repo-aligned storage such as /mnt/ace: read-only mounts, manifests, staged rsync, dedupe-merge gates, GitHub issue traceability, and governance/execution split.
Review the workspace-hub LLM-wiki/document-intelligence ecosystem, identify high-leverage gaps, and create grounded GitHub feature issues without duplicating existing work.
Execute a multi-issue architecture/planning wave in a plan-gated repo, then safely transition approved issues into implementation with file-based Codex prompts, local approval markers, subprocess monitoring, and cleanup handling for sandbox/hook edge cases.
Class-level workspace knowledge, LLM-wiki, repo mission contracts, stale doc references, semantic taxonomy, and knowledge-source reconnaissance.
Score task complexity using keyword matching and heuristics
Guide AI model selection based on task complexity, cost constraints, and latency requirements
Orchestrator checklist to verify worker outputs against the approved plan before accepting artifacts. Phase 2 of orchestrator/worker context enforcement (#2020).
Compact live-execution checklist companion for the canonical gh-work-planning route. Use for fast operational tracking during issue planning without replacing the full route.
Plan and operate a Hermes-led control plane that routes AI provider work across workstations using quota urgency, machine readiness, GitHub issue gates, and a dispatch ledger.
Convert engineering Excel workbooks to Python code using Claude Desktop cowork on Windows. Benchmarked superior output with 24 vs 7 functions and 81 vs 53 tests for Ballymore jumper.
Convert engineering Excel workbooks to Python code using Claude Desktop cowork on Windows. Proven superior quality vs Linux openpyxl extraction (24 vs 7 functions, 81 vs 53 tests). Validated on Ballymore jumper installation analysis.
Convert Excel calculation spreadsheets to Python code — extract formulas, build dependency graphs, generate pytest tests using cell values as assertions, and produce dark-intelligence archive YAMLs.
Visual + structural verification of HTML benchmark/validation reports using the Claude-in-Chrome extension. Opens the report in a browser, takes screenshots, checks key DOM elements, and produces a PASS/FAIL verdict. Generic by default; module-specific check…
Sanitize OrcaFlex models by stripping client-identifiable references, converting binary .dat to YAML .yml, and organizing into the reference model library.
OrcaFlex marine dynamic analysis — modeling, analysis, post-processing, and validation
Class-level GitHub issue lifecycle operations: issue creation, planning/execution routing, labels, evidence fields, roadmap anchors, closeout races, and visual planning.
Durable feedback loop for correcting llm-wiki pages without losing the correction to chat history. Use when (1) a human notices a wiki page is wrong, outdated, or contradicts a source, (2) processing the `audit/` inbox of a domain wiki, (3) reviewing what…
Firewall between the public llm-wiki repo (vamseeachanta/llm-wiki, MIT + CC-BY-4.0) and per-client private wikis (vamseeachanta/llm-wiki-<client>, e.g. llm-wiki-mkt-a per #2746). Use when (1) deciding whether a converted wiki page lands in public or private…
Canonical GitHub issue execution route after plan approval — strengthened resource intelligence, TDD-first implementation, targeted validation, adversarial review, delegation controls for Claude agent teams, GitHub progress posting, future-issue capture, and…
Canonical names, abbreviations, and relationship vocabulary for the workspace-hub ecosystem. Load this when naming repos, modules, machines, files, or expanding acronyms to ensure consistency across humans and agents. type: reference
Plan safe external-drive ingests into repo-aligned storage such as /mnt/ace: read-only mounts, manifests, staged rsync, dedupe-merge gates, GitHub issue traceability, and governance/execution split.
Review the workspace-hub LLM-wiki/document-intelligence ecosystem, identify high-leverage gaps, and create grounded GitHub feature issues without duplicating existing work.
Execute a multi-issue architecture/planning wave in a plan-gated repo, then safely transition approved issues into implementation with file-based Claude prompts, local approval markers, subprocess monitoring, and cleanup handling for sandbox/hook edge cases.
Smart repository synchronization across workspace-hub ecosystem — diagnoses and fixes pull failures (detached HEAD, diverged branches, uncommitted changes)
Class-level workspace knowledge, LLM-wiki, repo mission contracts, stale doc references, semantic taxonomy, and knowledge-source reconnaissance.
Critical limitations of delegate_task subagents — sandbox isolation prevents repo writes. Use for research/analysis only, not implementation.
LLM prompt management and evaluation platform. Version prompts, run A/B tests, evaluate with metrics, and deploy with confidence using Agenta's self-hosted solution.
Audit tier-1 repos for code-placement/retrieval readiness, write scorecard/freshness reports, create follow-up GitHub issues when requested, and handle daily freshness checks without reinforcing legacy product-doc reference patterns.
Cross-platform hardware assessment and system maintenance — assess hardware, update OS/tools/custom software, and track changes over time via JSON changelogs
Interpret the daily read-only repo ecosystem hygiene audit and route remediation through approved workflows.