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Claude Skills by eai-org

github.com/eai-org
24 skillsA× 240 installs3 views
Agentify ProjectA

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.

ai-agentsgogit
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43
Check Ticket ImplementationA

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.

ai-agents
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43
Compact Docs WriterA

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.

ai-agentsbash
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43
Compact Skill CreatorA

Author or refine a skill for maximum token economy without losing intent. Use when creating any new skill or editing an existing `SKILL.md`.

ai-agentsgobash
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43
Context CheckupA

Audit what auto-loads into an agent session's context window and suggest lean, reversible fixes to cut startup tokens.

ai-agentsbash
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43
Create Implementation PlanA

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.

ai-agentsgotesting
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43
Create Manual Test InstructionsA

Turn a ticket or requirements document into a concise QA manual-test file a non-author can follow. Invoke manually only.

ai-agents
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43
Fetch Pr ReviewA

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.

ai-agentsgoazure
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43
Fetch TicketA

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.

ai-agentsgoazure
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43
Fresh Eyes ReviewA

Fresh-eyes review of a changeset by a fresh-context agent — catches regressions and correctness issues the authoring context reads past.

ai-agentsgitsecurity
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43
HandoverA

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.

ai-agentsgogit
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43
Maintainer ReviewA

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.

ai-agentsgogit
0
43
Memory DoctorA

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.

ai-agentsgogit
0
43
Refine Pr ReviewA

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.

ai-agentsgo
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43
Refine TicketA

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.

ai-agentsgo
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43
Review Code AssistantA

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.

ai-agentsgoexpress
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43
Review TicketA

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.

ai-agentsgoshell
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43
Run Nx ChecksA

Run nx format, lint, test, and build on affected or specified projects, then fix unambiguous failures

ai-agentsshellbash
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43
Self ImproveA

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.

ai-agentsgo
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43
Self ReviewA

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.

ai-agentsgosql
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43
Use Conversational LanguageA

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.

ai-agentsrustgo
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43
Verify UnderstandingA

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.

ai-agentsgo
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43
Execute Plan TasksA

Execute one task from a plan's task breakdown, verify it, tick it off, and hand back for review before the next one.

ai-agentsgo
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43
Split Plan TasksA

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.

ai-agentsgo
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43