wiki-query
The wiki-query skill searches a local wiki knowledge base to answer user questions, synthesizing information from multiple pages with citations and confidence levels. Use it when users ask factual questions about the knowledge base, request comparisons, need overviews, or want analysis. The skill can optionally save valuable synthesized answers back as new wiki pages to compound knowledge over time.
git clone --depth 1 https://github.com/open-gitagent/opengap /tmp/wiki-query && cp -r /tmp/wiki-query/examples/llm-wiki/skills/wiki-query ~/.claude/skills/wiki-querySKILL.md
# Wiki Query Answer questions by searching and synthesizing from the wiki. ## Workflow ### Step 1: Search the wiki 1. Read `memory/wiki/index.md` to find relevant pages 2. Use Grep to search for specific terms across `memory/wiki/` 3. Read the most relevant pages (usually 3-10) ### Step 2: Synthesize an answer - Combine information from multiple wiki pages - Cite sources: reference both wiki pages and the underlying raw documents - Note confidence level — distinguish well-sourced claims from inferences - Flag if the wiki has gaps on this topic ### Step 3: Present the answer Format depends on the question: - **Factual question** — direct answer with citations - **Comparison** — markdown table comparing entities/concepts - **Overview** — structured summary with sections - **Analysis** — synthesis with explicit reasoning chain ### Step 4: File back (if valuable) If the answer represents a useful synthesis that doesn't exist as a wiki page: 1. Ask the user: "This answer synthesizes information that isn't captured in the wiki yet. Should I file it as a new page?" 2. If yes: create a new wiki page in `memory/wiki/` 3. Update `memory/wiki/index.md` 4. Append to `memory/log.md`: ``` ## [YYYY-MM-DD] query-filed | Page Title - Question: [original question] - Pages referenced: [list] - New page: memory/wiki/page-name.md ``` ## Key Insight Good answers should not disappear into chat history. A comparison you asked for, an analysis, a connection you discovered — these are valuable wiki content. Filing them back means your explorations compound in the knowledge base just like ingested sources do.
Reviews financial documents (prospectuses, ADVs, marketing materials) for FINRA 2210 compliance, required disclosures, and balanced presentation. Use when reviewing financial statements, audit documents, regulatory filings, or when the user mentions compliance checks, financial audits, or document verification.
Analyzes documents and processes against FINRA, SEC, Federal Reserve, and CFPB regulatory frameworks. Identifies compliance gaps, classifies findings by severity, and recommends remediation. Use when performing compliance audits, regulatory reviews, gap analyses, or verifying policy adherence to financial regulations.
Creates and configures agent.yaml files, writes SOUL.md personality definitions, and sets up agent directory structures with skills, tools, and knowledge. Use when the user wants to configure an agent, create agent.yaml, write SOUL.md, set up agent directory structure, or customize agent settings.
Converts agent definitions between frameworks — exports to Claude Code, OpenAI, CrewAI, Lyzr, and GitHub Models formats, and imports from Claude, Cursor, and CrewAI projects. Use when the user wants to convert an agent, migrate to another framework, export to LangChain/AutoGen/CrewAI, or import from existing automation tools.
Guides installation of gitagent and creation of first agent with scaffolding, configuration, and validation. Use when the user is new to gitagent, asks how to get started, wants to install gitagent, set up their first agent, or says 'how do I start?'
Searches the SkillsMP registry, installs skills locally or globally, creates custom skills with SKILL.md frontmatter, and manages the skill lifecycle. Use when the user wants to find skills, add new capabilities, install a skill, browse available skills, create a custom skill, or manage the skills system.
Configures and runs agents with different adapters including Claude, OpenAI, CrewAI, Lyzr, and GitHub Models. Supports local execution, remote git repos, and one-shot prompts. Use when the user wants to run an agent, switch LLM providers, configure adapter settings, or launch agents from git repositories.
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