procedural-learning
Retrieve verified ACS skills before engineering work.
Skill by jnibarger01
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/jnibarger01-procedural-learning
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
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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/procedural-learning
What's inside
- Skill name
procedural-learning- Description
- Retrieve verified ACS skills before engineering work.
- License
- NOASSERTION
- Instructions
- 36 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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Organize Obsidian vaults with MOCs, wikilinks, frontmatter/properties, dashboards, orphan-note checks, and cleanup workflows.
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Create and maintain a Markdown knowledge base that any AI agent can read, search, and update.
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Use for Desktop Commander MCP capabilities — persistent shells and REPLs, long-running processes, filesystem beyond the workspace, structured files (.xlsx…
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verify-platform-facts
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Refresh and audit docs/platform-facts.md from live official Claude and Anthropic sources.
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eval-baseline
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Run and compare the repository's fixed, costed evaluation corpus.
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bounded-orchestration
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Run and audit the repository's fan-out/synthesis, adversarial, and loop-until-done patterns.
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independent-verification
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Run and audit the repository's fresh-context maker-verifier loop.
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replace-me
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Replace with what the skill does and the concrete situations that trigger it.
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Review Agent Control Stack changes for policy, approval, audit, MCP, and local execution safety issues.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 34
- Last commit (this folder)
- Aug 18, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- NOASSERTION
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from jnibarger01
- 0.565score
computer-health-check
jnibarger01
Run a comprehensive, read-only health check on the user's computer and return a scored chat summary with prioritized, plain-English recommendations and safe…
SkillAFreshness: AClaude Code +9 - 0.565score
ai-tools-setup
jnibarger01
Set up, connect, validate, and repair Claude Desktop and MCP servers using Desktop Commander — inspecting and fixing mcp.json / claude_desktop_config.json…
SkillAFreshness: AClaude Code +9 - 0.559score
terminal
jnibarger01
Use Desktop Commander for terminal and command-line work, especially anything that needs a shell whose state persists across turns: Python/Node REPLs…
SkillAFreshness: AClaude Code +9 - 0.559score
obsidian-vault
jnibarger01
Organize Obsidian vaults with MOCs, wikilinks, frontmatter/properties, dashboards, orphan-note checks, and cleanup workflows.
SkillAFreshness: AClaude Code +9 - 0.559score
knowledge-base
jnibarger01
Create and maintain a Markdown knowledge base that any AI agent can read, search, and update.
SkillAFreshness: AClaude Code +9 - 0.556score
desktop-commander-overview
jnibarger01
Use for Desktop Commander MCP capabilities — persistent shells and REPLs, long-running processes, filesystem beyond the workspace, structured files (.xlsx…
SkillAFreshness: AClaude Code +9
Cite this page
procedural-learning skill. Agent Mart. https://agentmart.dev/skills/jnibarger01-procedural-learning (last updated 2026-10-24)