Pskoett AI Skills plugin for Grok Build
Skills for AI agents
How to install Pskoett AI Skills in Grok Build
1. Add this repo as a plugin marketplace in Grok Build (once per computer):
grok plugin marketplace add pskoett/pskoett-ai-skills2. Install the plugin:
grok plugin install pskoett-ai-skills@pskoett/pskoett-ai-skills --trustReview before you trust it. --trust lets this plugin's hooks, MCP servers and scripts run code on your computer. It's a community repo that neither xAI nor GrokStacks has reviewed, so read its code first.
Then start a new Grok session, or press r in /plugins, to load it.
Inside Grok Build: type /plugins, open the Marketplace tab, press a and add pskoett/pskoett-ai-skills, then select pskoett-ai-skills and press i.
Command format: Grok Build's plugin guide
What we checked: on Oct 19, 2026 it installed with grok 1.0.62 and Grok found 17 skills, 1 subagent. That's an install check only: we haven't run it in a live Grok session.
What it contains
Skills (17)
context-decay— Revalidate persistent agent knowledge by classifying why it can become stale and how quickly it changes, then retain, revise, externalize, or retire it. Use when reviewing skills, stored instructions, facts, preferences, assumptions, or worcontext-surfing— Monitors context window health during large, long-running, multi-session, or explicitly context-sensitive work. Uses bounded external anchors, one cold-context review when self-recovery is uncertain, and a clean handoff on real drift. Do nocontrol-session-orchestrator— Control-plane workflow for coordinating multi-agent, multi-session project work from a single Codex, GitHub Copilot, or agent-app control session. Use this skill whenever the user asks to orchestrate agents, create or steer worker sessions,eval-creator— [Beta] Creates permanent eval cases from promoted learnings and runs regression checks against them. Turns failures into test cases that prevent silent regression. This is the outer loop's regress-test step. Use when a learning is promotedeval-creator-ci— [Beta] CI-only eval regression runner using gh-aw (GitHub Agentic Workflows). Runs all eval cases in .evals/ on a schedule or per-PR, reports pass/fail results, and can block merges on regressions. Also creates new eval cases from promotedintent-framed-agent— Frames coding-agent work sessions with explicit intent capture and drift monitoring. Use when a session transitions from planning/Q&A to implementation for coding tasks, refactors, feature builds, bug fixes, or other multi-step execution whlearning-aggregator— [Beta] Cross-session analysis of accumulated .learnings/ files. Reads all entries, groups by pattern_key, computes recurrence across sessions, and outputs ranked promotion candidates. This is the outer loop's inspect step — it turns raw lealearning-aggregator-ci— [Beta] CI-only learning aggregation workflow using gh-aw (GitHub Agentic Workflows). Scans .learnings/ files on a schedule, groups entries by pattern_key, identifies promotion-ready patterns, and posts a gap report as a PR or issue comment.plan-interview— Ensures alignment between user and Claude during feature/spec planning through a structured interview process. Use this skill when the user invokes /plan-interview before implementing a new feature, refactoring, or any non-trivial implemenpre-flight-check— [Beta] Session-start scan that surfaces relevant learnings, recent errors, and eval status before work begins. Bridges the outer loop back into the inner loop by making accumulated knowledge visible at task start. Activated via SessionStartself-healing— Active runtime recovery for coding agents: when something breaks mid-task, diagnose the root cause, write a fix, VERIFY by re-running the broken thing, then file a `HEAL-` entry to `.learnings/HEALS.md` with proof. Use whenever a command, tself-healing-ci— CI-only self-healing workflow using gh-aw (GitHub Agentic Workflows) for active runtime recovery on pull requests and scheduled runs. When a CI check fails (test, build, lint, deploy, scan), this skill diagnoses the failure from CI logs, prself-improvement— Captures learnings, errors, corrections, and feature requests to enable continuous improvement. Use when: (1) User corrects Claude ('No, that's wrong...', 'Actually...'), (2) User requests a capability that doesn't exist, (3) Claude realizesession-context— [Beta] Retrieves task-relevant prior sessions and returns a short, cited brief of decisions, corrections, failed approaches, and unresolved work. Use after the initial intent frame and before finalizing the approach, when asked to find relasimplify-and-harden— Post-completion self-review for coding agents that runs simplify, harden, re-verification, and micro-documentation passes on non-trivial code or high-impact configuration changes. Use when a task is complete in a general agent session and yskill-pipeline— Pipeline orchestrator that classifies incoming coding tasks and routes them through the correct combination of skills at the right depth. Implements two feedback loops: the inner loop (detect, verify, recover) runs within a session via planverify-gate— Runs project compile, test, and lint commands between implementation and quality review. Gates simplify-and-harden behind machine verification. If checks fail, routes back to implementation with diagnostics for a fix loop. If checks pass, s
Subagents (6)
pskoett-ai-skills:context-monitor— Monitors context window health by re-reading wave anchor artifacts and detecting drift signals. Spawnable by the context-surfing skill or standalone for periodic context health checks during long-runnpskoett-ai-skills:harden-auditor— Read-only security auditor that finds security and resilience gaps in modified files. Checks for input validation, error handling, injection vectors, auth/authz, secrets, data exposure, dependency rispskoett-ai-skills:harness-updater— Applies promotion candidates from learning-aggregator to harness files (CLAUDE.md, AGENTS.md, .github/copilot-instructions.md). Distills patterns into concise prevention rules, inserts them in the rigpskoett-ai-skills:self-improvement-logger— Captures learnings, errors, and corrections to .learnings/ files. Spawnable by other skills or at session end to log quality/security findings, user corrections, command failures, or knowledge gaps. Cpskoett-ai-skills:simplify-auditor— Read-only auditor that finds unnecessary complexity in modified files. Checks for dead code, naming issues, control flow, API surface, over-abstraction, and consolidation opportunities. Reports findinpskoett-ai-skills:spec-auditor— Read-only spec auditor that finds gaps between implementation and spec/plan. Checks for missing features, incorrect behavior, incomplete implementation, contract violations, test coverage, and accepta
Hooks (1)
hooks— PostToolUse, PreToolUse, SessionEnd, SessionStart, Stop, UserPromptSubmit
About this listing
Pskoett AI Skills is a community plugin on GitHub by pskoett, written as a Claude Code plugin that Grok Build installs. We install-checked it in Grok; we haven't run it in a live session or reviewed its code. When we installed it, Grok found 17 skills, 6 subagents, 1 hook. No license stated in the repo, so check with the author before reusing its code. We checked commit dd6f48a50fa2. It's one of 409 listings in the Development category on GrokStacks.
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Pskoett AI Skills FAQ
How do I install Pskoett AI Skills in Grok Build?
Add the repo as a marketplace with grok plugin marketplace add pskoett/pskoett-ai-skills, then run grok plugin install pskoett-ai-skills@pskoett/pskoett-ai-skills --trust. Then start a new Grok session, or press r in /plugins, to load it.
Is Pskoett AI Skills an official Grok Build plugin?
No. Pskoett AI Skills is a community plugin on GitHub by pskoett, not in xAI's official Grok Build marketplace. We checked that it installs and what Grok loads from it, but haven't run it in a live Grok session or reviewed its code.
What does Pskoett AI Skills include?
According to what Grok loaded in our install check, Pskoett AI Skills includes 17 skills, 6 subagents, 1 hook: context-decay, context-surfing, control-session-orchestrator, eval-creator, eval-creator-ci, intent-framed-agent….
Details
- Type
- Plugin
- Category
- Development
- Source
- Community Claude Code plugin, installs in Grok
- License
- No license stated
- Author
- pskoett
- Source repo
- https://github.com/pskoett/pskoett-ai-skills
- Checked commit
dd6f48a50fa2- Checked by GrokStacks
- Install-checked in Grok Build on Oct 19, 2026; not run in a live session
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For maintainers: badge and embeds
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Markdown
[](https://grokstacks.com/p/pskoett-ai-skills/)HTML
<a href="https://grokstacks.com/p/pskoett-ai-skills/"><img src="https://grokstacks.com/badge.svg" alt="Listed on GrokStacks" width="164" height="28"></a>Embed card (static HTML and inline CSS, no JavaScript). Preview:
<a href="https://grokstacks.com/p/pskoett-ai-skills/" style="display:block;max-width:380px;box-sizing:border-box;padding:14px 16px;border:1px solid #2a2e3c;border-radius:12px;background:#0a0b0f;color:#e8eaf0;font:14px/1.45 -apple-system,Segoe UI,Roboto,Helvetica,Arial,sans-serif;text-decoration:none"><span style="display:block;font-size:16px;font-weight:700;color:#e8eaf0">Pskoett AI Skills</span><span style="display:block;margin:2px 0 8px;font-size:12px;color:#9aa0b1">Community plugin for Grok Build · 17 skills, 6 subagents, 1 hook</span><span style="display:block;margin:0 0 10px;color:#c9cdd8">Skills for AI agents</span><span style="font-size:12px;font-weight:600;color:#7c9cff">View on GrokStacks →</span></a>Markdown summary
**[Pskoett AI Skills on GrokStacks](https://grokstacks.com/p/pskoett-ai-skills/)**: Community plugin for Grok Build with 17 skills, 6 subagents, 1 hook. Install: `grok plugin install pskoett-ai-skills@pskoett/pskoett-ai-skills --trust` (after `grok plugin marketplace add pskoett/pskoett-ai-skills`)More on badges, embeds and keeping your listing up to date: GrokStacks for plugin authors.
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