Chalk Labs
Need help deploying project-memory?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/snipara-project-memory
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/project-memory
What's inside
- Skill name
project-memory- Description
- Recall and use durable Snipara project memory. Use for questions about prior decisions, workflows, architecture rationale, user preferences, troubleshooting outcomes, or continuity across agents.
- License
- MIT
- Instructions
- 17 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Project Memory Use Snipara as the durable memory layer for Cursor agents. ## Workflow 1. For memory questions, call `snipara_recall` with a focused query and project scope when available. 2. If the exact tool or scope is unclear, call `snipara_help` first and follow its tool guidance. 3. Treat returned memories as context, not as unquestionable truth. Prefer active, approved, high-confidence memories. 4. If memory and repository truth conflict, say so and verify with source files or fresh commands. 5. Do not persist anything unless the user made or validated a durable decision, workflow, preference, or troubleshooting outcome. ## Output Answer with the relevant memory-derived facts first, then identify any uncertainty or stale context.
From Snipara/snipara-cursor-plugin, MIT.
More from Snipara/snipara-cursor-plugin
- 0.474score
first-work-brief
Snipara
Build a source-backed first work brief for the current repository using Snipara.
SkillCFreshness: CClaude Code +9 - 0.474score
start-in-60-seconds
Snipara
Start using Snipara in a Cursor repository in about 60 seconds.
SkillCFreshness: CClaude Code +9 - 0.471score
end-of-task-memory
Snipara
Persist durable task outcomes into Snipara at the end of substantial Cursor work.
SkillCFreshness: CClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 5, 2026 (4 months ago)
- Last release
- Jul 5, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Snipara/snipara-cursor-plugin
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Snipara
- 0.582score
Snipara Project Intelligence
Snipara
Hosted MCP for source-backed project context, memory, code impact, and agent workflow continuity.
ConnectorAFreshness: ARemoteClaude Code +3 - 0.565score
connect
Snipara
Connect Snipara Hosted MCP, check the configured project and diagnose account access.
SkillAFreshness: AClaude Code +9 - 0.565score
orchestrator
Snipara
Use Snipara Orchestrator for explicit controller plans, task coordination, execution receipts and proof gates.
SkillAFreshness: AClaude Code +9 - 0.561score
companion
Snipara
Use Snipara Companion for local coding workflow plans, checkpoints, evidence and resuming saved work.
SkillAFreshness: AClaude Code +9 - 0.561score
snipara
Snipara
Retrieve sourced project context and reviewed memory through Snipara Hosted MCP.
SkillAFreshness: AClaude Code +9 - 0.560score
settings
Snipara
Configure the Snipara plugin project and independently enable or disable Snipara, Companion and Orchestrator.
SkillAFreshness: AClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
project-memory skill. Agent Mart. https://agentmart.dev/skills/snipara-project-memory (last updated 2026-10-24)