Agent skill

Competitive Landscape

by sendaifun in sendaifun/solana-new

Map the competitive landscape for a crypto product idea. An agent skill from sendaifun/solana-new.

MITAuto-check passedAgent Workflows

Install Competitive Landscape

skills CLI
$ npx skills add sendaifun/solana-new --skill competitive-landscape -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sendaifun/solana-new competitive-landscape --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sendaifun/solana-new.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/idea/competitive-landscape .claude/skills/competitive-landscape && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
competitive-landscape
GitHub stars
179
Token cost
~1.7k tokens
SKILL.md length
470 words
Files
5 (incl. references)
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

Map the competitive landscape for a crypto product idea. An agent skill from sendaifun/solana-new.

  • Works in 6 steps: Check for .superstack/idea-context.md in… → Read references/landscape-mapping.md for… → Search the solana-new ecosystem catalogs… → …
  • A user says who are my competitors
  • SKILL.md covers Preamble (run first), Overview, Workflow and Non-Negotiables, plus 5 more sections
  • Calls curl

What it does

Competitive Landscape is an agent skill from sendaifun/solana-new. Map the competitive landscape for a crypto product idea. Use when a user says "who are my competitors", "map the competitive landscape", "what exists in this space", "show me similar projects", or "competitive analysis". Leverages solana-new's catalogs of 106 repos, 78 skills, and 36 MCPs.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `agents/openai.yaml`, `references/ecosystem-catalog-guide.md` and `references/landscape-mapping.md`).

It sits in Agent Workflows, covering MCP servers and Competitor analysis. It works with Solana. The repository describes itself as: think. build. ship. tasteful & useful crypto apps. using a curated skills + knowledge base for AI agents on solana contracts & integrations. The licence is MIT.

When your agent uses it

  • A user says who are my competitors
  • Map the competitive landscape
  • What exists in this space
  • Show me similar projects

Example prompts

  • “who are my competitors”
  • “map the competitive landscape”
  • “what exists in this space”
  • “/competitive-landscape”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Check for .superstack/idea-context.md in the workspace. If found, use the chosen idea's domain. If not, ask the user what space to analyze.
  2. Read references/landscape-mapping.md for the mapping methodology.
  3. Search the solana-new ecosystem catalogs as described in references/ecosystem-catalog-guide.md.
  4. Assess defensibility using references/moat-analysis.md.
  5. Do fresh web research: crypto Twitter, GitHub, DeFiLlama, app directories.
  6. Produce a landscape HTML artifact with the full competitive matrix.

What it can do on your machine

Read from SKILL.md and the folder at commit 38a494a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Competitive Landscape loads about 1.7k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 78 tokens; SKILL.md has 470 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sendaifun/solana-new at commit 38a494a, republished under its MIT licence (© sendaifun). 470 words, ~1,661 tokens.

Download SKILL.mdSave it as .claude/skills/competitive-landscape/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
competitive-landscape
description
Map the competitive landscape for a crypto product idea. Use when a user says "who are my competitors", "map the competitive landscape", "what exists in this space", "show me similar projects", or "competitive analysis". Leverages solana-new's catalogs of 106 repos, 78 skills, and 36 MCPs.

Preamble (run first)

bash
_TEL_TIER=$(cat ~/.superstack/config.json 2>/dev/null | grep -o '"telemetryTier": *"[^"]*"' | head -1 | sed 's/.*"telemetryTier": *"//;s/"$//'  || echo "anonymous")
_TEL_TIER="${_TEL_TIER:-anonymous}"
_TEL_PROMPTED=$([ -f ~/.superstack/.telemetry-prompted ] && echo "yes" || echo "no")
_TEL_START=$(date +%s)
_SESSION_ID="$$-$(date +%s)"
mkdir -p ~/.superstack
echo "TELEMETRY: $_TEL_TIER"
echo "TEL_PROMPTED: $_TEL_PROMPTED"
if [ "$_TEL_TIER" != "off" ]; then
_TEL_EVENT='{"skill":"competitive-landscape","phase":"idea","event":"started","ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'"}' 
echo "$_TEL_EVENT" >> ~/.superstack/telemetry.jsonl 2>/dev/null || true
_CONVEX_URL=$(cat ~/.superstack/config.json 2>/dev/null | grep -o '"convexUrl":"[^"]*"' | head -1 | cut -d'"' -f4 || echo "")
[ -n "$_CONVEX_URL" ] && curl -s -X POST "$_CONVEX_URL/api/mutation" -H "Content-Type: application/json" -d '{"path":"telemetry:track","args":{"skill":"competitive-landscape","phase":"idea","status":"success","version":"0.2.0","platform":"'$(uname -s)-$(uname -m)'","timestamp":'$(date +%s)000'}}' >/dev/null 2>&1 &
true
fi

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:

bash
echo '{"telemetryTier":"anonymous"}' > ~/.superstack/config.json
_TEL_TIER="anonymous"
touch ~/.superstack/.telemetry-prompted

If B: run this bash:

bash
echo '{"telemetryTier":"off"}' > ~/.superstack/config.json
_TEL_TIER="off"
touch ~/.superstack/.telemetry-prompted

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.

Competitive Landscape

Overview

Map every relevant competitor, substitute, and adjacent project for a given crypto product idea. Produce a landscape matrix showing where the opportunities and dangers are.

Workflow

  1. Check for .superstack/idea-context.md in the workspace. If found, use the chosen idea's domain. If not, ask the user what space to analyze.
  2. Read references/landscape-mapping.md for the mapping methodology.
  3. Search the solana-new ecosystem catalogs as described in references/ecosystem-catalog-guide.md.
  4. Assess defensibility using references/moat-analysis.md.
  5. Do fresh web research: crypto Twitter, GitHub, DeFiLlama, app directories.
  6. Produce a landscape HTML artifact with the full competitive matrix.

Non-Negotiables

  • Always search the solana-new catalogs first — if a tool already exists, the user needs to know.
  • Include dead/failed projects, not just live ones. Failures reveal landmines.
  • Distinguish between "competitors" (same problem, same user) and "substitutes" (same problem, different approach).
  • Include at least one non-crypto substitute if applicable.
  • Do not declare "no competition" unless you've exhausted all search paths.
  • Rate crowdedness honestly: empty / sparse / moderate / crowded / saturated.
  • Always write a local HTML artifact.
Show full SKILL.md (211 more words)Show less

Phase Handoff

This skill is Phase 1 (Idea) in the Idea → Build → Launch journey. After mapping the landscape:

  1. Write/update .superstack/idea-context.md (create if missing) with a landscape field containing:
    • direct_competitors: array of { name, url, status, strength, weakness }
    • substitutes: array of { name, approach, why_users_stay }
    • dead_projects: array of { name, why_failed }
    • crowdedness: "empty" | "sparse" | "moderate" | "crowded" | "saturated"
    • moat_type: identified moat category
    • differentiation: recommended angle
  2. See ../../../data/specs/phase-handoff.md for the full JSON contract.

Quick Start

bash
# Ask about competitors for your specific idea:
#   "Who are my competitors for agent payments on Solana?"
#   "Map the competitive landscape for DeFi lending"
#   "What exists in the Solana staking space?"

# The skill will search:
# - 106 repos in cli/data/clonable-repos.json
# - 77 skills in cli/data/solana-skills.json
# - 36 MCPs in cli/data/solana-mcps.json
# - DefiLlama, GitHub, and crypto Twitter

Decision Points

  • Saturated market? If crowdedness = "saturated" (>5 direct competitors), look for underserved angle or niche.
  • Which data sources? Use DefiLlama for TVL/protocol data. Use GitHub for development activity. Use Twitter/X for community sentiment.
  • Dead project found? Check WHY it died — technical failure, market timing, or team issues. The idea might still be valid.
  • Hackathon projects? If the user wants to search 6,000+ Solana hackathon submissions for similar projects or winner patterns, suggest /colosseum-copilot. Requires a free PAT — only mention if the user asks or opts in.

Resources

references/

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:

bash
_TEL_END=$(date +%s)
_TEL_DUR=$(( _TEL_END - ${_TEL_START:-$_TEL_END} ))
_TEL_TIER=$(cat ~/.superstack/config.json 2>/dev/null | grep -o '"telemetryTier": *"[^"]*"' | head -1 | sed 's/.*"telemetryTier": *"//;s/"$//' || echo "anonymous")
if [ "$_TEL_TIER" != "off" ]; then
echo '{"skill":"competitive-landscape","phase":"idea","event":"completed","outcome":"OUTCOME","duration_s":"'"$_TEL_DUR"'","session":"'"$_SESSION_ID"'","ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'","platform":"'$(uname -s)-$(uname -m)'"}' >> ~/.superstack/telemetry.jsonl 2>/dev/null || true
true
fi

Replace OUTCOME with success/error/abort based on the workflow result.

© sendaifun, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in skills/idea/competitive-landscape of sendaifun/solana-new.

  • SKILL.md
  • agents/openai.yaml
  • references/ecosystem-catalog-guide.md
  • references/landscape-mapping.md
  • references/moat-analysis.md

Open the folder on GitHubat commit 38a494a

Compare with similar skills

Competitive Landscape next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Competitive Landscape compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Competitive Landscape this skillsendaifun/solana-new179—~1.7kAutomated safety check: PassMIT
Pump AI Agentsnirholas/pump-fun-sdk134—~832Automated safety check: PassCustom licence
Pump MCP Servernirholas/pump-fun-sdk134—~773Automated safety check: PassCustom licence
Competitor Monitorhanzili/hanzi-browse177—~2.8kAutomated safety check: PassCustom licence
Solana Devaiskillstore/marketplace433—~2.4kAutomated safety check: PassMIT
Competitor Researchopenlegion-ai/openlegion124—~395Automated safety check: PassMIT

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Works with

Questions about Competitive Landscape

What does Competitive Landscape do?

Map the competitive landscape for a crypto product idea. An agent skill from sendaifun/solana-new. Competitive Landscape is an agent skill from sendaifun/solana-new. Map the competitive landscape for a crypto product idea.

When should I use Competitive Landscape?

Competitive Landscape fits situations like: A user says who are my competitors; map the competitive landscape; what exists in this space; show me similar projects.

How do I install Competitive Landscape in Claude Code?

Run `npx skills add sendaifun/solana-new --skill competitive-landscape -a claude-code`. Or copy the skill folder (skills/idea/competitive-landscape in sendaifun/solana-new) into .claude/skills/competitive-landscape in your project. Claude Code loads it when a task matches its description.

How do I install Competitive Landscape in Codex?

Run `npx skills add sendaifun/solana-new --skill competitive-landscape -a codex`. Or copy the skill folder (skills/idea/competitive-landscape in sendaifun/solana-new) into .agents/skills/competitive-landscape in your project. Codex loads it when a task matches its description.

Can I use Competitive Landscape in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sendaifun/solana-new --skill competitive-landscape -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/competitive-landscape, .gemini/skills/competitive-landscape, .github/skills/competitive-landscape and .opencode/skills/competitive-landscape in your project.

What does Competitive Landscape need to run?

Going by SKILL.md and its folder, Competitive Landscape needs the command-line tools its instructions call (curl).

Does Competitive Landscape access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Competitive Landscape safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Competitive Landscape use?

Competitive Landscape is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Competitive Landscape use?

About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.4k tokens, read only when the agent opens those files.

What are the alternatives to Competitive Landscape?

Skills that share tags, products or a category with Competitive Landscape: Pump AI Agents (nirholas/pump-fun-sdk, 134 stars), Pump MCP Server (nirholas/pump-fun-sdk, 134 stars), Competitor Monitor (hanzili/hanzi-browse, 177 stars) and Solana Dev (aiskillstore/marketplace, 433 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Competitive Landscape?

sendaifun (a GitHub organization) maintains it in sendaifun/solana-new, which has 179 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 2, 2026.

Source: sendaifun/solana-new on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.