hackathon

REVIEW · 71
Registry indexed

Prepare a winning hackathon submission. Use when the user says "hackathon submission", "submit to hackathon", "demo script", "demo video", "which track should I enter", "Colosseum", "help me win the hackathon", or asks about hackathon grants and Superteam Earn.

Verified installs0
Stars97
Version1.0.0
Quality67/100 · Promising
Trust71/100 · Sandbox only
Audit81/100 · Needs review

Supply asset profile

Design and creative production

Design assets, images, video, audio, multimodal media, presentation, and creative production skills.

Browse track

Scenario

Presentation generation

I need my agent to create a polished presentation deck from a brief, document, URL, or research notes, preferably with editable PPTX or HTML slides.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add solanabr/solana-ai-kit --skill hackathon

Maintenance

fresh

3d since push

Risk

Needs review

Financial research output is not financial advice; require human review before any live investment decision

GitHub quality

97

67/100 Quality · 79/100 Trust

Coverage tags

DesignPresentation generationdesign-creativeagent-skill

Review notes

Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
67

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
71

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
81

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

97 GitHub stars

Repo activity

97 stars, 60 forks

Maintenance

3d since push

License

MIT

Install

npx skills add solanabr/solana-ai-kit --skill hackathon

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • GitHub adoption: 97 GitHub stars
  • Stars/forks activity: 97 stars, 60 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Presentation generation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Choose the right deck format

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add solanabr/solana-ai-kit --skill hackathon
Policy
review
Human review
yes

Trust and risk

Trust
71/100
Audit
81/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add solanabr/solana-ai-kit --skill hackathon

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.

Agent safety v2

61/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

  • Financial research output is not financial advice; require human review before any live investment decision

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install solanabr-hackathon

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use hackathon in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20hackathon%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/solanabr-hackathon/install
Install command: npx skills add solanabr/solana-ai-kit --skill hackathon
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use hackathon for this task. Review https://www.openagentskill.com/api/skills/solanabr-hackathon/install, then install with: npx skills add solanabr/solana-ai-kit --skill hackathon

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

66/100

Presentation generation

Platforms

Claude Code

Audit report

Needs review · 81/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Presentation generation

Prototype with this skill first; keep a fallback candidate ready.

66
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Presentation generation

Trust label

Prototype first

Install path

Command ready

Use when

  • Presentation generation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 67/100 quality profile
  • 1 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Presentation generation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

71
OpenAgentSkill Trust Score

GitHub adoption

CHECK

97 GitHub stars

Stars/forks activity

CHECK

97 stars, 60 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • GitHub adoption: 97 GitHub stars
  • Stars/forks activity: 97 stars, 60 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

67
GitHub stars
97
Freshness
3d ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: hackathon description: Prepare a winning hackathon submission. Use when the user says "hackathon submission", "submit to hackathon", "demo script", "demo video", "which track should I enter", "Colosseum", "help me win the hackathon", or asks about hackathon grants and Superteam Earn. user-invocable: true ---

<!-- Adapted from sendaifun/solana-new (submit-to-hackathon, apply-grant), MIT © 2026 SendAI and Superteam. Telemetry removed. -->

# Hackathon Submission

Track choice → scannable description → <3-min demo script → checklist. Optimize for a judge who has 90 seconds, not a reader who has 10 minutes.

## Context handoff

At start, read `.claude/context/idea.md` and `.claude/context/build.md` if present — pull the pitch, wedge, and what actually works from them instead of asking again.

## Workflow

### 1. Pick the least-crowded track

Winning a thin track beats placing in a fat one. Per candidate track: estimate entry volume, fit with what's actually built, and judge appetite (sponsor tracks often have the fewest serious entries).

- Winner patterns + track history: [hackathon-winners.md](../ext/solana-new/skills/data/colosseum/hackathon-winners.md) — every Colosseum grand champion and track winner, with what they built - Live crowdedness check: [ext/colosseum](../ext/colosseum/skills/colosseum-copilot/SKILL.md) — query 5,400+ past submissions for cluster density and gaps (requires `COLOSSEUM_COPILOT_PAT`)

### 2. Write a scannable description

**Judges read 100+ submissions.** Yours gets one skim deciding whether it gets a real read:

- Tagline: what it does, one sentence, no jargon - First paragraph: problem + who has it - Bold the one thing that's novel - "What works today" list — demo-able claims only, never roadmap dressed as product - Why Solana (one concrete reason: speed, fees, composability with X)

Full structure (200–500 words, paragraph-by-paragraph): [hackathon-submission-guide.md](../ext/solana-new/skills/launch/submit-to-hackathon/references/hackathon-submission-guide.md). Score the draft against [judging-criteria.md](../ext/solana-new/skills/launch/submit-to-hackathon/references/judging-criteria.md) before submitting.

### 3. Demo script (<3 minutes)

| Time | Beat | |------|------| | 0:00–0:20 | Problem — one user, one pain, no market-size slides | | 0:20–0:40 | What you built, one sentence + UI first appears | | 0:40–2:10 | The demo — one happy path, real data, on-chain proof (explorer tx) | | 2:10–2:40 | The novel part — the thing competitors don't have | | 2:40–3:00 | Traction/team one-liner + the ask |

Shot-by-shot template and recording tips: [demo-video-script.md](../ext/solana-new/skills/launch/submit-to-hackathon/references/demo-video-script.md). Rule: if the demo can fail live, record it.

### 4. Submission checklist

- [ ] Track chosen by crowdedness, not vanity - [ ] Tagline passes the "non-crypto friend" test - [ ] Description scannable in 90 seconds (bold claims, short paragraphs) - [ ] Demo video <3 min, real transaction shown - [ ] Repo public, README quickstart actually works from clone - [ ] Deployed link (devnet OK) + program ID listed - [ ] Team and contact info complete - [ ] Pitch deck attached if track requires one — use [pitch-deck](../pitch-deck/SKILL.md)

## After the hackathon: grants

Losing the track doesn't mean losing the funding. Same artifacts (description, demo, deck) feed grant applications:

- **Superteam Earn** (earn.superteam.fun) — bounties + grants up to ~$10k USDC equivalent, fast cycles, regional Superteams - **Solana Foundation grants** — milestone-based, public-good angle; reuse the scannable description with an ecosystem-benefit paragraph - Grant-shaped ideas dataset: [superteam-ideas.json](../ext/solana-new/skills/data/ideas/superteam-ideas.json)

Note: upstream `apply-grant` ships no inert reference files (SKILL.md only — excluded from routing), so grant guidance lives here.

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 20, 2026
Published
Aug 20, 2026

Decision snapshot

Fallback candidate

66
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

81
Needs review
Security
87/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for hackathon, ready for a manual X post.

Curator note
hackathon: Prepare a winning hackathon submission. Use when the user says "hackathon submission", "submi...

97 stars

https://www.openagentskill.com/skills/solanabr-hackathon?ref=x
Open X draft
Optional reply with install command
Listing + install path for hackathon:
https://www.openagentskill.com/skills/solanabr-hackathon?ref=x

Install: npx skills add solanabr/solana-ai-kit --skill hackathon

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
solanabr
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to solanabr but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/solanabr-hackathon?metric=listed&label=Listed)](https://www.openagentskill.com/skills/solanabr-hackathon)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/solanabr-hackathon?metric=trust&label=Trust)](https://www.openagentskill.com/skills/solanabr-hackathon)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/solanabr-hackathon?metric=audit&label=Audit)](https://www.openagentskill.com/skills/solanabr-hackathon/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/solanabr-hackathon?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/solanabr-hackathon)

Author

S

solanabr

@solanabr

Platform fit

Health signals

GitHub stars
97
Quality score
38/100
Last GitHub push
Aug 20, 2026
Framework hints
Unknown
OpenAgentSkill views
1
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

71
  • GitHub adoption97 GitHub starsCHECK
  • Stars/forks activity97 stars, 60 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance3d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS