strikersam/autonomous-ai-agency

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Build and run a structured agent harness — an outer loop that gives an LLM a defined set of tools (capabilities) and drives it to task completion. Use when: you need an agent that can take multi-step autonomous action on a complex task.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Automatically detect and fix linting, formatting, and type errors across the codebase. Use when: pre-commit cleanup is needed.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Convert a chaotic list of scattered ideas, notes, or thoughts into a structured, prioritized action plan. Use when: you have a messy list of ideas and need structure.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Ensure every meaningful change has a proper docs/changelog.md entry. Use before every commit that changes behaviour, adds features, or fixes bugs.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Design and validate checkpointing strategies for LLM training runs. Use when: starting a new training run (set checkpointing policy upfront).

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Prime Claude with deep repository context before starting any significant task. Use at the start of a session in an unfamiliar area.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Multi-perspective code review before merging. Simulates a council of reviewers (security, correctness, performance, maintainability) independently evaluating a change. Use before any PR merge or for significant changes.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Audit training data and tokenizer pipelines for quality issues that silently degrade LLM training. Use when: preparing a dataset for LLM pretraining or fine-tuning.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Systematically trace and resolve bugs using hypothesis-driven debugging. Use when: a bug report needs investigation.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Review, validate, and update Python dependencies safely. Use when adding a new package, upgrading an existing one, or reviewing the dependency surface.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Remove AI code slop before committing. Review AI-generated code for unnecessary verbosity, redundant comments, over-engineering, and low-signal patterns that degrade codebase quality over time.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Keep documentation in sync after code changes. Run after any change that alters module behaviour, APIs, env vars, or architecture.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Clone an existing plan, task thread, or agent session so you can explore an alternative approach without losing the original. Use when: you want to try a risky refactor without throwing away the current plan.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Rapidly process a backlog of emails by categorizing, prioritizing, and drafting responses or actions. Use when: inbox has grown unmanageable.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Implement new features behind feature flags to enable safe, gradual rollouts and easy rollbacks without code deployments. Use when: implementing a risky or large feature.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Ensures the repository's git history, branch state, and commit messages are clean, meaningful, and follow project conventions before pushing or merging. Use before pushing commits to master or opening a PR.

strikersam/autonomous-ai-agency

Skill Claude Code

Converts this codebase into a queryable knowledge graph so AI sessions query graph.json (71.5x fewer tokens) instead of reading raw source files. Integrates with Claude Code and Codex via repo hooks that auto-refresh on session start and after turns.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Plan a multi-file or multi-step implementation before writing any code. Use before any change touching more than two files, adding a new feature, or changing a module interface.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Analytics, heatmaps, and trends from session history. Analyze checkpoint logs, learnings, and git history to surface patterns: which files change most, which steps fail most often, and where to invest in tooling or tests.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Provides a structured, repeatable process for resolving GitHub issues from start to finish — reading the issue, planning a solution, implementing it, testing it, and closing it with a proper commit and changelog entry. Use when assigned a GitHub issue to implement or fix.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Persist corrections and patterns to long-term memory. When a mistake is made or a rule is learned, write it to .claude/state/learnings.md so it's never repeated.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Route prompts to a locally running Ollama instance instead of cloud AI APIs. Use when: processing sensitive/proprietary code or data that shouldn't leave the machine.

strikersam/autonomous-ai-agency

Skill Claude CodeCodex

Advise on learning rate schedules for transformer/LLM training. Use when: starting a new training run and unsure about LR settings.