lightprotocol/skills

ask-mcp

For questions about Light Protocol's SDK, smart contracts and Solana development, Claude Code features, or agent skills. AI-powered answers grounded in repository context via DeepWiki MCP.

First seen Feb 23, 2026

Installation

$ npx skills add lightprotocol/skills --skill ask-mcp

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Also in this package

Other skills from lightprotocol/skills · top by installs.

npx skills add lightprotocol/skills

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 7
License LICENSE
Default branch main
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Allowed toolsRead, Glob, Grep, Task, WebFetch(https://zkcompression.com/*), WebFetch(https://github.com/Lightprotocol/*), WebSearch, mcp__deepwiki__read_wiki_structure, mcp__deepwiki__read_wiki_contents, mcp__deepwiki__ask_question, mcp__zkcompression__SearchLightProtocol
Declared agents claude-code clawdbot
More metadata
source
https://github.com/Lightprotocol/skills
documentation
https://www.zkcompression.com
openclaw
{"requires":{"env":[],"bins":[]}}

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 7,447 B
  • docs SUMMARY.md 203 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 46 installs

SKILL.md

DeepWiki Research

Query repositories via DeepWiki MCP to answer technical questions with precise, source-backed answers.

Workflow

  1. Understand the question

- Identify what the user is asking and which domain it falls into - If the question is ambiguous, state your understanding and ask for clarification

  1. Gather context

- Match question to the [execution steps](#execution-steps) below - Use Glob, Grep, and Read to find relevant local files - Query DeepWiki MCP (mcpdeepwikiask_question) and mcpzkcompressionSearchLightProtocol for repository-level context - Use Task subagents for parallel research across multiple repos when needed

  1. Synthesize and respond

- Apply [precision rules](#4-apply-precision-rules) to the answer - Format per [format response](#5-format-response)

Execution Steps

1. Read required context in local repo

Use Glob and Grep to locate relevant files in the current repository. Use Read to pull in specific content needed to answer the question.

2. Identify question scope

Determine the domain:

  • Programs, client SDKs, architecture, implementation details
  • Specific components (LightAccount, ValidityProof, CPI, etc.)

3. Fetch repository context

Select the appropriate repository based on question scope:

Light Protocol (compressed accounts, state trees, ZK compression, Light SDK)

mcp__deepwiki__read_wiki_structure("Lightprotocol/light-protocol")
mcp__deepwiki__read_wiki_contents("Lightprotocol/light-protocol")
mcp__deepwiki__ask_question("Lightprotocol/light-protocol", "your question")

Solana Development (programs, accounts, general Solana)

mcp__deepwiki__read_wiki_structure("blueshift-gg/blueshift-dashboard")
mcp__deepwiki__read_wiki_contents("blueshift-gg/blueshift-dashboard")
mcp__deepwiki__ask_question("blueshift-gg/blueshift-dashboard", "your question")

Claude Code (CLI features, commands, configuration)

mcp__deepwiki__read_wiki_structure("anthropics/claude-code")
mcp__deepwiki__read_wiki_contents("anthropics/claude-code")
mcp__deepwiki__ask_question("anthropics/claude-code", "your question")

Agent Skills (skills, subagents, patterns)

mcp__deepwiki__read_wiki_structure("anthropics/skills")
mcp__deepwiki__read_wiki_contents("anthropics/skills")
mcp__deepwiki__ask_question("anthropics/skills", "your question")

4. Apply precision rules

AVOID:

  • Vague verbs: "handles", "manages", "processes", "enables", "provides"
  • Abstract nouns: "operations", "management", "coordination"
  • -ing endings when a precise verb exists
  • Marketing language: "comprehensive", "rich", "seamless", "enables", "provides capability"
  • ZK terminology in user-facing docs: "inclusion proof", "non-inclusion proof" → Instead describe what it does: "prove the address doesn't exist", "prove the account hash exists"
  • Generic descriptions: "account metadata" instead of "CompressedAccountMeta"

USE:

  • Exact function/method names
  • Concrete data structures
  • Specific operations: "sets discriminator", "creates hash", "nullifies account"
  • File:line references
  • "reference" when describing u8 indices that reference accounts in the accounts array (standard Solana terminology)
  • "CPI" as a verb (e.g., "CPIs the Account Compression Program")
  • Technical method/function names used as verbs when contextually clear

Describe exactly what happens.

5. Format response

Structure answers with:

  • Technical precision
  • Code examples with inline comments
  • Source references (file paths, line numbers)

Example Output

Question: What do you include in instruction data for compressed account creation?

Answer:


Compressed Account Creation Instruction Data

Instruction data contains three components for proof verification and tree coordination.

Components:

pub struct InstructionData {
    proof: ValidityProof,
    address_tree_info: PackedAddressTreeInfo,
    output_state_tree_index: u8,
    // + custom account data
}

1. Non-inclusion proof

  • ValidityProof proves the derived address does not exist in the specified address tree
  • Client generates via getValidityProof() RPC call

2. Tree location parameters

  • PackedAddressTreeInfo: Specifies which address tree registers the address (u8 index, not pubkey)
  • outputstatetree_index: Specifies which state tree stores the compressed account hash

3. Custom account data

  • Program-specific fields (e.g., message: String, user data)

Execution flow:

  1. Address tree proves uniqueness, stores address
  2. State tree stores account hash
  3. ValidityProof cryptographically guarantees address is unused

Why separate trees:

Compressed accounts require client-generated cryptographic proof that address doesn't exist (unlike regular Solana where runtime checks PDA existence). Address trees enforce uniqueness; state trees store account hashes.

Packed structs use u8 indices to reference accounts in remaining_accounts, reducing transaction size.

Security

This skill does not pull, store, or transmit external secrets. It provides code patterns, documentation references, and development guidance only.

  • No credentials consumed. The skill requires no API keys, private keys, or signing secrets. env: [] is declared explicitly.
  • DeepWiki MCP accesses public repositories only. All mcpdeepwiki* calls query public GitHub repositories (Lightprotocol/light-protocol, anthropics/claude-code, anthropics/skills). No authentication tokens are required or transmitted. DeepWiki does not access private repositories unless explicitly configured with a token — this skill does not configure one.
  • User-provided configuration. RPC endpoints, wallet keypairs, and authentication tokens (Privy, wallet adapters) are configured in the user's own application code — the skill only demonstrates how to use them.
  • Tool boundary enforced. The allowed-tools list restricts this skill to read-only operations (Read, Glob, Grep), research subagents (Task), web fetches to Light Protocol domains, and MCP queries. It cannot load other skills, write files, or execute shell commands. Verify the allowed-tools list in the frontmatter above matches these constraints.
  • Install source. npx skills add Lightprotocol/skills installs from the public GitHub repository (Lightprotocol/skills). Verify the source before running.
  • Audited protocol. Light Protocol smart contracts are independently audited. Reports are published at github.com/Lightprotocol/light-protocol/tree/main/audits.