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mcp/skillhub

Agent Skill

Wiki Query skill

wiki-queryrohitg00/pro-workflowskills/wiki-query/SKILL.md

Query pro-workflow wikis via SQLite FTS5 BM25 retrieval. Returns top-K passages with citations. Use when answering a question that any of the user's wikis already covers, when the user says "what does the wiki say about X", "ask wiki", "search wikis", or before drafting a new wiki page (to avoid duplication).

2.9k

always on

74 tokname + description

once used

512 tokSKILL.md body

bundled files

11 scripts

repo stars

2.9kGitHub

Install the Wiki Query skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/rohitg00/pro-workflow --skill wiki-query

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/rohitg00/pro-workflow.git /tmp/pro-workflow
mkdir -p ~/.claude/skills
cp -R /tmp/pro-workflow/skills/wiki-query ~/.claude/skills/wiki-query

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description74 tok
When the agent uses itThe SKILL.md instructions512 tok
Only if opened1 bundled files (3 KB)varies

Until it is used, wiki-query costs about 18× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 41 skills from rohitg00/pro-workflow would load 2,419 tokens of descriptions. Skills vs MCP study

Checks

  • Ships scripts the agent can run. Read them before installing.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Wiki Query
  • When to use
  • Commands
  • Output
  • Citing back
  • SessionStart integration
  • Limits (Phase 3.3.0)

More skills from rohitg00/pro-workflow

All skills in this repo
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    Coordinate multiple Claude Code sessions as a team — lead + teammates with shared task lists, mailbox messaging, and file-lock claiming. Patterns for team sizing, task decomposition, and when to use teams vs sub-agents vs worktrees.

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  2. auto-setuprohitg00/pro-workflow

    Auto-configure quality gates, hooks, and settings for a new project. Detects project type and sets up appropriate tooling. Use when onboarding a new codebase.

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  3. batch-orchestrationrohitg00/pro-workflow

    Decompose large-scale changes into independent units and spawn parallel agents in isolated worktrees. Use for migrations, refactors, codemods, and any change touching 10+ files with the same pattern.

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  4. bug-capturerohitg00/pro-workflow

    Capture a user-reported defect as a durable GitHub issue written in the project's own domain language. Explores the codebase in parallel for context but never leaks file paths or line numbers into the issue. Use when the user reports a bug conversationally, runs a QA pass, or says "file an issue", "log this as a bug", "capture this".

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  5. compact-guardrohitg00/pro-workflow

    Smart context compaction with state preservation. Saves critical files, task progress, and working state before compaction, restores after. Use before manual compact or when auto-compact triggers.

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  6. context-engineeringrohitg00/pro-workflow

    Master the four operations of context engineering — Write, Select, Compress, Isolate. Manage token budgets, compaction strategies, and context partitioning to keep AI sessions sharp and efficient.

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  7. context-optimizerrohitg00/pro-workflow

    Optimize token usage and context management. Use when sessions feel slow, context is degraded, or you're running out of budget.

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  8. cost-trackerrohitg00/pro-workflow

    Track session costs, set budget alerts, and optimize token spend. Use to check costs mid-session or set spending limits.

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