eai-org
OrganizationMinimalistic, project-agnostic skills and rules for AI coding agents
Categories
Indexed Skills (28)
review-ticket
Triage a ticket or ticket set before work starts — compare it against the codebase and save a review covering verdict, feature walkthrough, and only the high-cost questions worth raising.
execute-plan-tasks
Execute one task from a plan's task breakdown, verify it, tick it off, and hand back for review before the next one.
split-plan-tasks
Split a plan into small, individually reviewable tasks grouped into PR-sized batches, appended as a task section at the end of the plan file.
maintainer-review
Review someone else's pull request as the maintainer deciding whether it merges — every prior comment walked, every claim verified, and nothing posted without your go-ahead.
compact-skill-creator
Author or refine a skill for maximum token economy without losing intent. Use when creating any new skill or editing an existing `SKILL.md`.
memory-doctor
Audit the current project's agent-memory and, block by block, relocate each entry into a user-controlled home (project doc/skill/rule or user-level skill/rule) or archive it — draining memory so nothing uncontrolled accumulates in the agent's context.
agentify-project
Make a project ready for AI agentic engineering by converging it toward a canonical agent-neutral structure — a lean AGENTS.md index with progressive disclosure, shared skills and gitignore hygiene. Re-runnable, and doubles as an audit.
verify-understanding
Verify the engineer is ready to implement a feature — a teach-back conversation over a .TICKET-REVIEW.md where they explain the feature in their own words and the agent probes and corrects.
fresh-eyes-review
Fresh-eyes review of a changeset by a fresh-context agent — catches regressions and correctness issues the authoring context reads past.
review-code-assistant
Assist a human reviewing a pull request or branch locally — diff a source branch against its target (auto-detected or from a PR link) and return concise, human-voice review comments with file and line locations. Read-only, never posts.
self-review
Self-review a changeset until merge-ready — a fresh-context reviewer checks it as a maintainer would, the author answers every finding, and a compact report for the PR proves the review happened.
compact-docs-writer
Draft, rewrite, or refine a doc for maximum token economy without losing any rule or intent. Use for docs kept in version control and regularly re-read by agents; skip throwaway docs like plans.
run-nx-checks
Run nx format, lint, test, and build on affected or specified projects, then fix unambiguous failures
self-improve
Capture durable user feedback into the governing skill/doc, or propose creating a new skill when no suitable one exists, so future sessions don't repeat the mistake. Use when the user rejects, reverts, or overrides the agent's output or approach on something a skill/doc covers or should cover, and when manually invoked to improve or create guidance.
check-ticket-implementation
Check how much of a ticket is already implemented — split it into requirement blocks, judge each against the code, and save a human-readable TICKET-STATUS report in the planning dir.
context-checkup
Audit what auto-loads into an agent session's context window and suggest lean, reversible fixes to cut startup tokens.
create-manual-test-instructions
Turn a ticket or requirements document into a concise QA manual-test file a non-author can follow. Invoke manually only.
refine-ticket
Refine a development ticket — or brainstorm a raw idea — into a validated, self-contained REQUIREMENTS document — the "what", verified against the codebase. Invoke manually only.
create-implementation-plan
Turn a refined requirements document into a structured implementation PLAN.md a fresh session can execute. Planning only — decides the "how", not the "what". Invoke manually only.
handover
Use when handing finished work over to code review — writing a PR description or packaging a change for review by a human, an agent, or both.
refine-pr-review
Triage a fetched PR review with the user, comment by comment, drafting each reply and producing a REQUIREMENTS file for the accepted code changes. Takes the PR-REVIEW file produced by fetch-pr-review. Invoke manually only.
explain-in-simple-language
Explain code, a decision, a recap, or a question to the user in simple language that a fluent but often non-native developer who did not see what the agent saw understands on the first read. Use when explaining or asking the user anything, or when the user asks for simpler words or says they did not understand. Changes the wording only, never the content.
use-conversational-language
Voice rules for text published under a person's name and read as if a person typed it, such as chat replies, PR comments and descriptions, commit messages, review replies, and code comments. Defines the wording only, never the content.
fetch-ticket
Fetch one or more tickets/issues from their tracker (Azure DevOps, Jira, GitHub, …) and save each as a self-contained markdown ticket file. Fetch only — no analysis or planning.
attach-to-ticket
Attach pasted images, files or URLs to a fetched ticket, saved beside its ticket file and referenced from it, or fill an attachment the fetch could not download. Local only — never queries or edits the tracker.
prepare-prompt
Prepare a prompt that hands this session's work to a fresh agent session — to continue it, check it, or pick up what was left open. Use when asked for a prompt or brief for the next session.
fetch-pr-review
Fetch all reviewer comments from a pull request URL (GitHub, Azure DevOps, …) and save them as a self-contained markdown PR-REVIEW file in the task's planning directory. Fetch only — no fixing or replying.
grill-me
Interview the user relentlessly about a plan, design, or idea until reaching shared understanding, resolving each branch of the decision tree. Use when the user wants to stress-test a plan, validate an idea, get grilled on their design, or says "grill me".
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.