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- dlt-hub/dlt
- 최근 소스 활동
- 2026년 8월 5일 17:06
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/dlt-hub/dlt --skill implement-issue명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
| name | implement-issue |
| description | Triage, plan, and implement a fix or feature for a GitHub issue end-to-end |
| argument-hint | <issue-number> [-- <hints or context from maintainer>] |
Parse $ARGUMENTS to extract:
-- (or all of it if no --) is the issue number. Referred to as ISSUE below.-- is maintainer hints — domain knowledge, suspected root cause, pointers to relevant code, or constraints. If absent, there are no hints.gh issue view ISSUE --json title,body,comments,labels,state,assignees,author,createdAt,milestone
Produce a concise summary: title, reporter, component/area involved, error message, reproduction steps, expected behavior.
Derive the branch category from the issue labels:
| Label contains | Category |
|---|---|
bug | fix |
enhancement, feature | feat |
test | test |
documentation | docs |
If no matching label exists, ask the human for the category.
Collect implementation hints from all available sources, in priority order:
$ARGUMENTS (after --)If the combined hints from these sources provide sufficient direction (suspected root cause, relevant code areas, constraints), proceed directly to step 3 without asking the human.
If hints are insufficient — the issue is vague, the root cause is unclear, or there are multiple possible approaches — ask the human for guidance.
Before jumping to a fix, verify assumptions. This step prevents wasted effort on the wrong solution.
Use Explore agents to thoroughly investigate the relevant code paths. Trace the flow from user-facing API to the point of failure. Read the code — don't guess.
Check whether the reporter is using the library correctly:
If the issue involves specific external systems (destinations, sources, file formats, etc.):
Based on research, conclude one of:
Report findings to the human before moving on.
Before planning, create the working environment so plan-mode exploration runs against a clean branch.
Use the category from step 2 and the issue number:
{category}/{issue-number}-{short-description}
Example: fix/3529-dedup-sort-escape
If ISSUE was already a branch name rather than a number (no ticket exists), use it as given.
Invoke the /worktree-from-issue skill with the branch name:
/worktree-from-issue {branch-name}
This creates the worktree, checks out a new branch from origin/devel, and runs /worktree-make-dev.
Use it also when there is no issue number.
Note the worktree path — referred to as WORKTREE below.
Verify that the cwd is now inside the worktree:
pwd
If pwd does not show WORKTREE, run cd WORKTREE and verify again. Stop with an error if the cwd cannot be set. Once confirmed, subsequent Bash calls will run inside the worktree automatically.
Enter plan mode and design a plan that will pass the /review-pr skill. The review-pr skill checks:
@CLAUDE.md, no over-engineering, proper use of existing patterns and utilities.pyproject.toml flagged.The plan must include:
cd instruction (see @.claude/rules/worktree.md).@CLAUDE.md test guidelines (parallel safety, platform independence, proper fixtures).make test-common for extract/normalize/common work, destination-specific tests for load work. See @CLAUDE.md "Testing strategy" section.Present the plan via ExitPlanMode for human approval.
Apply the changes from the approved plan. Follow these rules:
Dict[str, Any] not dict).def test_*() -> None:, pytest fixtures, @pytest.mark.parametrize for variants.Run verification in this order. Stop and fix issues before proceeding to the next step.
Run only the new/changed test functions using the commands from the plan. Be selective — target specific test functions, not entire modules.
When the fix involves an external system (destination, source, API) where you don't have full visibility into the behavior — a "black box" — verify experimentally that the test actually catches the bug:
This is valuable when you cannot fully predict how the external system handles the input (e.g., how a database treats unquoted identifiers, how an API responds to edge-case payloads). It proves the test is meaningful and not a no-op.
Skip this step when the code path is fully internal and you can reason about correctness from the code alone.
make format && make lint
Both must pass cleanly. Fix any issues before reporting.
Summarize results:
## Fix for #ISSUE: <title>
**Branch**: {branch-name}
**Worktree**: WORKTREE
### Changes
- `<file>`: <description> (<lines> lines)
- ...
### Verification
- <test-function> on <config>: passed
- <test-function> on <config> without fix: FAILED (confirms bug) [if applicable]
- make format: pass
- make lint: pass
Ready to commit.
Wait for the human to confirm before committing.
Create or reuse a git worktree for a pull request or branch so reviews and work happen in isolation
Create a git worktree with a new branch for implementing a fix or feature for a GitHub issue
Review and rewrite the prose a branch adds — docstrings, comments, user-facing messages, docs — against dlt's fixed vocabulary and Simplified Technical English. Invoke as /review-vocabulary.
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