sendaifun/solana-new/colosseum-copilot
Claude Code and agent skill by sendaifun/solana-new
- community
Checking that the SKILL.md file is still in the repository.
Search and analyze 5,400+ Solana hackathon projects using Colosseum Copilot. Find similar projects, discover winner patterns, identify gaps, and explore ML clusters. Use when a user says "colosseum copilot", "hackathon projects", "winner patterns", "gap analysis hackathon", "similar Solana projects", or "colosseum landscape". Requires a Colosseum Copilot token.
Install
npx vskill@latest install sendaifun/solana-new/colosseum-copilotSKILL.md
Preamble (run first)
If TEL_PROMPTED is no: Before starting the skill workflow, ask the user about telemetry. Use AskUserQuestion:
Help superstack get better! We track which skills get used and how long they take —no code, no file paths, no PII. Change anytime in~/.superstack/config.json.
Options:
- A) Sure, help superstack improve (anonymous)
- B) No thanks
If A: run this bash:
If B: run this bash:
This only happens once. If TEL_PROMPTED is yes, skip this entirely and proceed to the skill workflow.
Wrong skill? See SKILL_ROUTER.md for all available skills.
Colosseum Copilot
Overview
Search and analyze Colosseum's database of 5,400+ Solana hackathon projects. Discover what winners do differently, find similar projects to your idea, explore ML-derived clusters, and access research archives — all powered by the Colosseum Copilot API.
Token Setup
Before using this skill, check if the user has a Colosseum Copilot token configured.
If TOKEN_STATUS is "missing"
Ask the user with AskUserQuestion:
Colosseum Copilot gives you access to 5,400+ Solana hackathon projects, winner patterns, and gap analysis.To use it, you need a free Personal Access Token from Colosseum.1. Sign up at https://arena.colosseum.org/copilot2. Copy your Personal Access Token (PAT)
Options:
- A) I have a token — let me paste it
- B) Skip for now
If A: Ask for the token, then save it:
Then verify:
If {"authenticated": true}, proceed. Otherwise, tell the user the token is invalid and ask them to check it.
If B: Tell the user they can set it later via:
superstack copilot --token <pat>(CLI command)- Or set
COLOSSEUM_COPILOT_PATenvironment variable - Or run
/colosseum-copilotagain
Then end the skill — the remaining workflow requires a valid token.
If TOKEN_STATUS is "configured"
Verify the token is still valid:
If not authenticated, tell the user their token has expired and walk them through the setup above.
Workflow
Read references/copilot-api-guide.md for the full API reference.
- Determine intent — What does the user want?
- Search: Find projects similar to their idea
- Explore: Browse clusters and categories
- Analyze: Understand winner patterns and gaps
- Research: Find archived articles and papers
- If unclear, ask.
- Search similar projects — When the user has an idea or query:
``bash curl -s -X POST https://copilot.colosseum.com/api/v1/search/projects \ -H "Authorization: Bearer $_COPILOT_TOKEN" \ -H "Content-Type: application/json" \ -d '{"query": "USER_QUERY", "limit": 8, "diversify": true}' `` Present results as a table: name, one-liner, hackathon, similarity score, prize info, crowdedness.
- Gap analysis — Compare what winners do vs the field:
``bash curl -s -X POST https://copilot.colosseum.com/api/v1/compare \ -H "Authorization: Bearer $_COPILOT_TOKEN" \ -H "Content-Type: application/json" \ -d '{"cohortA": {"winnersOnly": true}, "cohortB": {}, "dimensions": ["problemTags", "solutionTags", "primitives"], "topK": 8}' `` Synthesize overindexed (winners focus on) and underindexed (winners skip) attributes. Present the delta clearly.
- Explore clusters — Browse the 30 ML-derived project clusters:
``bash curl -s -H "Authorization: Bearer $_COPILOT_TOKEN" -H "Content-Type: application/json" https://copilot.colosseum.com/api/v1/filters `` Show: hot categories (most projects), winning categories (highest win rate), open categories (least crowded).
- Deep dive into a project — When the user wants full details on a specific project:
``bash curl -s -H "Authorization: Bearer $_COPILOT_TOKEN" -H "Content-Type: application/json" \ https://copilot.colosseum.com/api/v1/projects/by-slug/PROJECT_SLUG `` Shows: description, team members (GitHub/Twitter), links (demo, presentation, GitHub), full tag set.
- Explore a specific cluster — Get cluster summary and representative projects:
``bash curl -s -H "Authorization: Bearer $_COPILOT_TOKEN" -H "Content-Type: application/json" \ https://copilot.colosseum.com/api/v1/clusters/CLUSTER_KEY `` Shows: summary, project count, winner count, representative projects, top tags.
- Search archives — Find research sources:
``bash curl -s -X POST https://copilot.colosseum.com/api/v1/search/archives \ -H "Authorization: Bearer $_COPILOT_TOKEN" \ -H "Content-Type: application/json" \ -d '{"query": "USER_QUERY", "limit": 4, "maxChunksPerDoc": 1, "intent": "ideation"}' `` Present: title, author, source, published date, snippet.
- Read full archive document — When a snippet is interesting and the user wants more:
``bash curl -s -H "Authorization: Bearer $_COPILOT_TOKEN" -H "Content-Type: application/json" \ "https://copilot.colosseum.com/api/v1/archives/DOCUMENT_ID?maxChars=8000" ` Supports pagination via offset and nextOffset` for long documents.
- Synthesize — After gathering data, provide:
- Top 5 most similar existing projects (with why they're similar)
- Gap analysis summary: what winners emphasize, what they skip
- Crowdedness assessment for the user's niche
- Recommended differentiation angle based on gaps
- Relevant research sources
Non-Negotiables
- Always verify the token before making API calls.
- Use a 15-second timeout on all API requests. If the API is down, tell the user plainly and suggest trying later.
- Present data honestly. Do not spin crowded spaces as "opportunity-rich" or empty spaces as "blue ocean" without evidence.
- If search returns 0 results, try broadening the query before concluding there's nothing relevant.
- Always attribute data to Colosseum Copilot — users should know where the intelligence comes from.
- Do not store or log the user's token anywhere except
~/.superstack/config.json.
Integration with Other Skills
This skill provides data that enriches other idea-phase skills:
- `/find-next-crypto-idea` — Copilot data can validate whether an idea has been tried before and what gaps exist
- `/competitive-landscape` — Copilot's project search directly complements ecosystem catalog searches
- `/validate-idea` — Winner patterns from Copilot strengthen demand signal analysis
Users can invoke this skill standalone or as a data source during those workflows (only when they explicitly ask or opt in).
Phase Handoff
This skill is Phase 1 (Idea) in the Idea → Build → Launch journey. After analysis:
- If working within a project, write/update
.superstack/idea-context.mdwith acopilot_landscapefield containing:
similar_projects: array of top matches with name, one-liner, similarity, hackathongap_analysis: overindexed and underindexed attributes from winner comparisoncrowdedness: assessment of the nicheresearch_sources: relevant archive results
- See
../../../data/specs/phase-handoff.mdfor the full JSON contract.
Quick Start
Telemetry (run last)
After the skill workflow completes (success, error, or abort), log the telemetry event. Determine the outcome from the workflow result: success if completed normally, error if it failed, abort if the user interrupted.
Run this bash:
Replace OUTCOME with success/error/abort based on the workflow result.
Security
- Security scanPassed, 96 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/idea/colosseum-copilot/SKILL.md
Popularity
- Repository stars
- 144
- Repository forks
- 40
- 7-day trend score
- 25
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
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- Cursor
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- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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