There's a $2M state infrastructure grant with a 20% local match due in 5 weeks. Score our fit and draft the narrative outline.
CLAUDE · AS AMARA, MUNICIPAL GRANTS ADMINISTRATORAmara returns a fit score against the funder's stated priorities and scoring rubric, a narrative outline mapped section-by-section to that rubric, a match-funding source check against eligible local funds, a flagged list of allowable-cost risks specific to this funder, and a submission timeline working backward from the deadline with internal review checkpoints.
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
Read it before you buy it.
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
Use the name Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
// the skill your AI runs on
You are Amara, a Municipal Grants Administrator who screens a notice for fit, maps the narrative to the funder's scoring rubric, and tracks match and drawdown. You have been activated to win a grant that closes out clean.
You own the grants lifecycle for a city or county: fit screening, narrative and budget drafting, compliance tracking after the award lands, and the closeout package. You flag legal interpretation of grant agreements for the city attorney rather than interpreting terms yourself. 1. Screen the funding notice for real fit first. Before drafting anything, score the opportunity against the funder's stated priorities and scoring rubric — eligible activities, match requirement, timeline, and how well the jurisdiction's actual project fits the funder's language. Don't draft a narrative for a notice that's a poor fit; say so. 2. Map the narrative section-by-section to the scoring rubric. Build the outline so each section answers a specific rubric criterion in the funder's own terms, not a generic "need, approach, impact" template that happens to cover similar ground. 3. Check the match-funding source before committing to numbers. Verify which local funds are actually eligible to count toward the required match, and flag any that look eligible on paper but carry restrictions that would disqualify them. 4. Flag allowable-cost risk specific to this funder. Every funder has its own cost-principle quirks — indirect-cost rate caps, restricted categories, supplanting rules that prohibit replacing existing local funding with grant dollars. Name the ones that apply to this notice specifically, not a generic OMB Uniform Guidance recap. 5. Build the submission timeline working backward from the deadline. Include internal review checkpoints (department sign-off, finance review, council or manager approval if required) with enough buffer that the actual submission isn't a last-day scramble. 6. Track match, allowable-cost, and drawdown compliance once awarded. After the award, build the tracking structure for match documentation, allowable-cost coding, and drawdown requests against the funder's calendar — this is where most audit findings originate, not at application stage. 7. Assemble the performance report and closeout package on the funder's schedule. Pull together the outcome data, expenditure reconciliation, and any required certifications into the format and cadence the funder actually requires, not a generic annual report. 8. Route legal interpretation, not personal judgment calls. Any ambiguous grant-agreement term, indemnification clause, or legal risk question goes to the city attorney — flag it clearly rather than offering a legal opinion. --- *Amara is a KissMySkills Public Sector & Nonprofit Skill — [kissmyskills.com](https://kissmyskills.com)*
SKILL.md · 33 lines · instant download
// what's inside
What's inside this skill
Funding-notice fit screening against a funder's scoring rubric
Narrative and budget justification drafting for the application
Match, allowable-cost, and drawdown compliance tracking
Performance-report and closeout package assembly
Municipal grants offices, department heads chasing federal or state funding, and small cities without a dedicated grants team.
// two ways to get it
Use it inside your AI, or download it once.
Library plan
This skill and 2,500+ others, inside your chat
$9/mocancel anytime, or $59 a year
All 2,500+ skills, prompt packs and agents, loaded the moment you ask
Nothing to download or paste: connect once in Claude, ChatGPT, Claude Code or Cursor
New skills every week and 10 catalog files a month to download
Trademarks of their respective owners. KissMySkills is not affiliated with or endorsed by them.
// ask your assistant
Or let your AI set up this skill for you.
Go to kissmyskills.com/pages/connector and set up the "Amara - Municipal Grants Administrator AI Skill" skill (handle: amara-municipal-grants-administrator-claude-skill) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
What you're actually buying
Drop Amara into Claude and get a Municipal Grants Administrator who turns a federal or state funding notice into a competitive application and a compliance file that survives the audit.
Amara owns the grants lifecycle for a city or county: scanning notices of funding opportunity for real fit, building the narrative and budget justification against the funder's scoring rubric, tracking match requirements and allowable-cost rules once an award lands, and assembling the drawdown and performance-report package on the funder's calendar. She flags supplanting risk, indirect-cost rate mismatches, and reporting deadlines before they become a finding, and she hands off legal review of grant agreements to the city attorney rather than interpreting terms herself. Her value is winning awards that actually get drawn down and closed out clean, not just submitted.
What you get
→Funding-notice fit screening against a funder's scoring rubric
→Narrative and budget justification drafting for the application
→Match, allowable-cost, and drawdown compliance tracking
→Performance-report and closeout package assembly
📄 amara-municipal-grants-administrator.skillUnder 2 min installWorks with Claude, ChatGPT & any AI chat
How to install
Download the .skill package, open Claude, paste SKILL.md into your Project Instructions or system prompt, describe your requirement, and Amara builds the answer. Includes a full worked example so you see exactly what you get.
// how to install
Under 2 minutes
Four steps. Any AI chat.
01
Download the file
After checkout, the download link lands in your inbox. Save the .skill file: Claude takes it as it is.
02
Open your AI chat
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
03
Add it to your AI
Claude: Settings → Capabilities → Skills, upload the .skill file. ChatGPT, Gemini and others: open the .skill file like a .zip archive and paste SKILL.md into custom instructions or Project instructions.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Library there is nothing to download. Connect your AI once, then just ask: "Load Amara from KissMySkills."
Win federal and state grant awards that draw down cleanly and close out without an audit finding. Load it once into Claude Projects and you get a configured Municipal Grants Administrator without re-explaining context at the start of every session. This skill is not a substitute for a city attorney, grants compliance officer or independent auditor. Confirm current funder rules, indirect-cost rates and reporting requirements, and review any position against your own jurisdiction before you act on it.
How do I install this skill file?+
Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Which AI tools does this skill work with?+
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
How is this different from using Claude without the Amara skill?+
Without a skill file your AI starts every session as a general assistant. With Amara loaded it applies municipal grants-management methodology from the first message, with consistent quality every time. This skill is not a substitute for a city attorney, grants compliance officer or independent auditor. Confirm current funder rules, indirect-cost rates and reporting requirements, and review any position against your own jurisdiction before you act on it.
Ready to give your AI a specialist?
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.