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Project Skills

memorix_skills

Manage and generate project-specific skills for AI coding assistants by listing available skills, creating new ones from memory patterns, or injecting skill content for direct use across multiple development environments.

Instructions

Memory-driven project skills. Action "list": show all available skills from all agents. Action "generate": auto-generate project-specific skills from observation patterns (gotchas, decisions, how-it-works). Action "inject": return a specific skill's full content for direct use. Generated skills follow the SKILL.md standard and can be synced across Cursor, Windsurf, Claude Code, Codex, Copilot, Kiro, Antigravity, OpenCode, and Trae.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesAction: "list" to discover skills, "generate" to create from memory, "inject" to get skill content
nameNoSkill name (required for "inject")
targetNoTarget agent to write generated skills to (optional for "generate")
writeNoWhether to write generated skills to disk (default: false, preview only)
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions that generated skills follow 'SKILL.md standard' and can be synced across various agents, but doesn't address critical behavioral aspects like whether operations are read-only or mutating, what permissions might be required, how generation actually works from 'observation patterns,' or what format the output takes. For a tool with multiple actions including 'generate' and potential disk writes, this leaves significant gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is efficiently structured with three clear action descriptions in a single sentence, followed by context about the skill standard and sync capabilities. Every sentence adds value, though the second sentence could be more front-loaded with the core purpose. No wasted words, but the sync agent list is somewhat lengthy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 4 parameters, no annotations, and no output schema, the description is insufficiently complete. It doesn't explain what a 'skill' actually is in this context, how generation from 'observation patterns' works, what the output format looks like for each action, or any error conditions. The mention of SKILL.md standard and sync targets helps, but critical behavioral and output details are missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, providing solid documentation for all 4 parameters. The description adds marginal value by mentioning the three action types and that generated skills follow SKILL.md standard, but doesn't provide additional semantic context beyond what's already in the schema descriptions. The baseline 3 is appropriate since the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states this tool manages 'project skills' with three specific actions (list, generate, inject), providing a verb+resource combination. It distinguishes itself from siblings by focusing on skill management rather than consolidation, deduplication, or other memory operations. However, it doesn't explicitly contrast with similar-sounding tools like memorix_rules_sync or memorix_workspace_sync.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage contexts for each action ('list' to discover, 'generate' to create from memory, 'inject' to get content), but doesn't provide explicit guidance on when to choose this tool over alternatives. No when-not-to-use criteria or sibling tool comparisons are included, leaving the agent to infer appropriate usage from the action descriptions alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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