一键导入
sage-bot
Searches Sage for company policy information and returns the cited source page from Confluence
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Searches Sage for company policy information and returns the cited source page from Confluence
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Runs monthly LCAT check for Finance. Pulls all billable roles from Jira Staffing board (project SO) where Project Start Date falls in a given month then creates new Google Sheet report in Delivery Staffing Movements Drive folder for Finance to compare LCATs vs. Unanet. Trigger phrases: "monthly LCAT check", "run the LCAT check", "LCAT check for [month]", "run the finance report", "monthly finance check", "pull staffing for [month]", "create the finance onboarding sheet", or "finance staffing report." What it does: - Asks which month to report on and whether to notify Finance afterward - Queries Jira (project SO) for roles with Project Start Date in that month, excluding Corporate/Non-Billable - Builds CSV with columns: Project Name, Employee Full Name, Project Start Date, Summary, Issue Key, GSA LCAT, Contract LCAT, Unanet LCAT, Flag/Comment? - Creates new Google Sheet titled {Month} {Year} - Delivery Staffing Movements in Finance LCAT reports Drive folder - Sends summary to Finance Slack channel
Input policy document (links or downloads) to generate a flowchart, service blueprint, and plain list of all policy-based delivery requirements. Best used for discovery and team alignment. Examples: - "Looking at Federal Regulation X, Memo Y and State Manual Z, what are the income requirements for AK residents to be eligible for Medicaid?" - "Based on policy in the VA's M21 manual, what are the documentation requirements for a veteran with a presumptive claim who is applying for benefits?" Results should be reviewed by a human!
Use this skill to evaluate whether a skill is ready for enterprise-wide publish in the Nava Skills Marketplace. Triggers when someone shares a SKILL.md file for review, asks whether a skill is ready to publish, says "review this skill for the marketplace," or when called via API as part of the automated submission workflow. Also use when someone asks "can I publish this?" or "does this pass the rubric?" about any skill file. Runs a two-question rubric against the SKILL.md contents, cross-references against submitter-provided form data when available, and returns a structured verdict with actionable fix instructions.
End-of-week brag-doc capture for any Nava employee pursuing a level-up. Pulls Jira and Slack from the last 7 days, ranks candidate entries against the Nava competency gaps the user is targeting, and writes confirmed entries directly into a .docx brag log on the user's computer. Use when the user says "weekly brag log", "Friday brag log", "log my wins", "update my brag doc", "promotion prep", or when scheduled to run at end-of-week.
Search Nava's Project Index spaces to find relevant past performance, similar work, and project capabilities for proposal research. Use this skill whenever someone asks to find past Nava projects, look up similar work for an active opportunity, search for past performance examples, identify which projects match an RFP requirement, find project capabilities by agency or technology, filter by portfolio (FedCiv, FedHealth, VA, State), filter by archetype (Product Team, Data Modernization Team, Enterprise Operations Team, etc.), or asks any variant of "what has Nava done with X?" or "find me projects similar to Y." Triggers on natural language queries using RFP phrasing, federal evaluation language, agency names, technology keywords, dollar thresholds, portfolio names, or archetype labels. Also triggers when someone asks who to talk to about a specific project area.
Review a proposal, strategic initiative, roadmap, project plan, press release, or document through three core lenses: alignment with company goals, cross-org opportunities, and execution risks. Supports five modes: (1) Default proposal review for internal documents, (2) Press Release / External Comms mode with completeness checklist and quote quality assessment, (3) Go/No-Go Decision mode with decision readiness assessment and blocking dependency tracking, (4) Strategic Transformation mode for org restructuring and multi-workstream initiatives, (5) Training Material mode for training decks, workshops, and learning programs. Use whenever someone says "review this proposal", "what do you think of this plan", "review this doc", "give me feedback on this initiative", or references a document that needs strategic evaluation.
| name | sage-bot |
| description | Searches Sage for company policy information and returns the cited source page from Confluence |
| version | 1.0 |
| author | kellyfeeney@navapbc.com |
| author_name | Kelly Feeney |
| team | Operations and Automation |
| sensitive_data | false |
| problem | Helps search company policies based on the information input on Sage; allows you to ask a question directly in Claude |
| estimated_impact | Saves ~10 min of looking up policy information on Sage |
| usage_frequency | Weekly |
| expected_audience | 16+ people |
| impact_type | ["Time saved per use"] |
| compatibility | ["claude-chat","claude-cowork"] |
| tags | ["company-policy","sage-search"] |
| data_sources | Confluence (Sage) |
Sage Bot answers questions about Nava's policies and internal processes by querying the company's official Confluence documentation in real-time.
When someone asks you a question about any Nava policy, procedure, or internal information, follow these steps:
Use the Atlassian Confluence search to look for pages relevant to the question. Search the Sage space (space key: NH) with a clear, focused query.
Important: Search broadly but specifically. For example:
For each search result that looks relevant, fetch the full page content. Read through the content carefully to find the specific answer to the question.
Copy exact excerpts from the page that directly answer the question. These excerpts are your evidence. Do not paraphrase or summarize the excerpts themselves - include them verbatim.
Critical rule: Synthesize your answer using ONLY the information from the excerpts you found. Do not:
If the documentation doesn't clearly answer the question, say so explicitly.
Always include:
Format: Source: Page Name
If you cannot find a clear answer in Sage:
Do NOT attempt to answer the question yourself or make an educated guess.
This skill exists because LLMs can hallucinate policy details, especially nuanced requirements. These guardrails prevent that:
User asks: "My imaginary friend died. Can I take bereavement leave?"
Bad response (hallucinating): "Yes, you can take 5 days of bereavement leave."
Good response: According to Nava's bereavement leave policy: "In the event of a death of an individual with whom the employee has a close relationship (e.g., parents, children, other family members, close friends, etc.), employees may take up to five (5) days of paid bereavement leave."
Your situation doesn't clearly match this policy. The policy specifies a "close relationship" with defined examples, and an "imaginary friend" isn't mentioned. I'd recommend reaching out to People Ops to discuss your specific situation.
Source: Bereavement Leave
Invoke this skill any time someone asks about:
Do not skip the skill. Even if you think you know the answer, search Sage first to verify.