marm init
by Ryan lyell
The intelligent installer for MARM, providing cross-agent persistent memory and shared context via MCP.
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THE AGENSI STORE
87 skills found
by Ryan lyell
The intelligent installer for MARM, providing cross-agent persistent memory and shared context via MCP.
A Claude Code skill that audits your site, maps keyword gaps, clusters topics, and turns SEO fixes into an implementation plan.
by Indy Agent
Claude Code skill for writing user stories with full Gherkin acceptance criteria, story splitting, and Jira-ready output.
by Zotri
Run Claude Code unattended with a battle-tested safety framework, hardened deny-rules, and a 6-layer rollback ladder.
Instantly deploy text, JSON, files, or full static sites to brewpage.app with zero configuration.
by Lily Studio
Paste your Python code and get a plain-English test report — what works, what doesn't, what's unfinished, and exactly what to do next.
Every orchestration topology — sequential, parallel, hierarchical, map-reduce, critic-actor — selected and designed for your exact workflow. Full system design with agent roles, interfaces, routing logic, and error paths.
by GTDataworks
Generate source-safe repository audits and repair handoff bundles without mutating your code.
Point it at an unfamiliar or inherited repo and quickly understand it. Maps the architecture, identifies the key modules and entry points, traces the core end-to-end flows, surfaces the conventions and gotchas, and assembles a clean ONBOARDING.md — turning a strange codebase into a clear mental model fast. Built for the moment you join a project, take one over, or have to explain a repo before changing it.
Audit your project's dependencies for supply-chain risk before they ship. Detects the ecosystem, runs the right vulnerability scanners against live advisory data, and adds the checks tooling misses — outdated or abandoned packages, typosquatted or suspicious names, risky install scripts, and license conflicts — then returns a prioritized fix list and a PASS / REVIEW / BLOCK verdict. It's npm audit with triage and judgment on top.
by Shandra
Plans safe dependency upgrades and framework migrations for legacy applications with risk analysis, compatibility mapping, test planning, rollback strategy, and phased AI coding prompts.
Generate a real test suite for any function, module, or file — meaningful edge cases, error paths, boundary conditions, and proper mocks, not happy-path stubs. Detects your project's framework and conventions, plans the cases deliberately before writing, and hands back runnable tests plus a summary of what's covered. Built to write the tests that actually catch bugs.
Scaffold a secure, spec-compliant MCP server from a description of the tools you want to expose. Sets up the official SDK (TypeScript or Python/FastMCP), defines tools/resources/prompts with strict JSON Schema, wires the right transport (stdio or Streamable HTTP), adds OAuth 2.1 for remote, and hardens against the MCP-specific footguns — prompt injection via tool output, token passthrough, over-broad scopes, command/path/SSRF injection, leaked secrets — before it ships. Returns a runnable skeleton plus a security checklist. Built by someone who's shipped production MCP servers.
by Timoranjes
Teaches AI coding agents to stop repeating the same mistakes by maintaining a structured LEARNINGS.md file that captures failure patterns, converts them into guardrails, and feeds them back into CLAUD
Turn an error, stack trace, and logs into a structured root-cause diagnosis — reconstructed failure, ranked hypotheses with evidence, the most likely cause, and the cheapest next diagnostic or fix. The disciplined pass a senior engineer runs, instead of scattershot guess-and-check.
Write and review the docs AI agents actually read — AGENTS.md for your repo and llms.txt for your site. Drafts them from scratch or audits existing ones for completeness, clarity, and wasted context, with a PASS or REVISE verdict.
Design and write the eval suite for your LLM-powered feature — the metrics that match your failure modes, a golden dataset plan with starter cases, anchored rubrics, LLM-as-judge prompts with the known bias mitigations, and pass/fail gates wired for CI.
Write the delegation brief that lets a background or async agent succeed unattended — precise goal, hard constraints, testable acceptance criteria, a verification plan, and stop-and-escalate rules. Turns "go fix the flaky tests" into a spec an agent can actually execute.
by Dan Jones
Stop fighting your security recorder's clunky app. Ask your AI for a camera and a time window, get a clean, verified MP4 back.
by SkillBill
Audits your Claude Code project setup and flags what's broken, misconfigured, or risky. With ready-to-paste fixes.
by Boubacar B
Claude defaults to complex. This skill does not let that happen. Before your session ships a 400-line solution to a 20-line problem, the simplicity filter stops it and asks: does this actually need to be this complex?
Turn your API's route and handler code into a spec-compliant OpenAPI 3.1 document and a ready-to-import request collection — paths, referenced schemas, auth, error responses, examples, and a variable-driven collection with the base URL and token wired up. Derived from your code, not invented.
Model what your LLM app or agent will cost, find where the money goes, and get a plan to cut it. Per-request and monthly projections, ranked cost drivers, an optimization plan with estimated savings, and unit economics against your pricing — with the arithmetic shown.
by Boubacar B
Claude can write frontend code. What it needs is a design system vocabulary to write CONSISTENT frontend code. This skill gives it that vocabulary, so every button, form, and layout follows the same rules across your entire app.