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tackle-issues解决问题

Agent Skill

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库中的信息转成可执行的下一步。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue、推送分支或访问私有仓库时,应确认 token 权限、目标仓库范围和用户授权。

总安装

210

周安装

9

GitHub Stars

公开资料未说明

下载量

73
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tackle-issues(解决问题)
来源仓库:https://github.com/ishakantony/skills
仓库路径:skills/tackle-issues
安装命令:
npx skills add https://github.com/ishakantony/skills --skill tackle-issues
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/ishakantony/skills --skill tackle-issues

简介

tackle-issues 用于围绕 GitHub 仓库、Issue、Pull Request 等提供协作辅助,适合在 Codex、Claude、Cursor、Gemini CLI 中管理项目状态。

  • 适用于查询项目进展、整理代码变更和协助创建协作事项。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 需区分只读与写入操作,涉及私有仓库时需确认 token 权限。
  • 可结合原始 README 进一步核验具体功能和调用方式。

SKILL.md

Tackle Issues

Loop through AFK issues in issues/, picking and completing one task at a time. Each task runs in a subagent.

Quick start

  1. Discover the project's feedback loops (test + typecheck/lint).
  2. List issues/*.md (skip issues/done/), classify HITL vs AFK.
  3. Build the queue once — order all AFK issues deterministically and materialize them as a TODO list (one todo per issue). This is the source of truth for the rest of the loop.
  4. If the queue is empty → output <promise>NO MORE TASKS</promise> and stop.
  5. Pop the next pending todo, spawn a subagent to complete it.
  6. After the subagent returns, update that todo (done / partial / blocked) and loop to step 4.

Do not re-classify or re-prioritize the full backlog on every iteration — that is what causes the infinite-thinking-loop bug when several issues are equally workable. Build the queue once; only revisit it when a subagent reports a new issue file appeared.

1. Discover feedback loops (once, at start)

Detect the project's test and typecheck/lint commands by inspecting common manifests:

  • package.json → look at scripts (test, typecheck, lint)
  • Makefile → look for test, check, lint targets
  • pyproject.toml / tox.inipytest, mypy, ruff
  • Cargo.tomlcargo test, cargo clippy, cargo check
  • go.modgo test./..., go vet./...
  • composer.json, Gemfile, mix.exs, build.gradle, pom.xml → analogous

If commands are obvious from the manifest, use them without asking. If ambiguous (multiple test scripts, unclear lint target, no manifest), ask the user once and remember the answer for the rest of the loop.

Record the discovered commands — pass them into every subagent.

2. Read issues

  • Read every issues/*.md (not recursively — skip issues/done/).
  • For each, classify HITL vs AFK by reading the file (look for a Type: field, an HITL tag, or explicit wording).
  • Drop HITL issues from the queue.

3. Build the queue (once)

Sort all AFK issues into a single deterministic order, then write them to a TODO list using TaskCreate — one todo per issue, content Tackle <filename>: <one-line title>.

Sort order (apply each tier; within a tier, fall through to the next tie-breaker):

  1. Priority tier (lower wins):

1. Critical bugfixes 2. Development infrastructure (tests, types, dev scripts) 3. Tracer bullets for new features (thin end-to-end slice) 4. Polish and quick wins 5. Refactors

  1. Blockers: any issue whose Blocked by: field references something not yet in issues/done/ is held back — keep it in the list but mark its todo [blocked: waiting on <X>] so it is skipped until its blocker is done.
  2. Explicit Priority: field in the issue file (P0 > P1 > P2 …), if present.
  3. Filename order (alphabetical) — the final, always-decisive tie-breaker. Never spend cycles deciding between two same-tier issues; the filename wins.

Once the TODO list is written, treat it as immutable order. Do not re-sort. The only allowed mutations are:

  • marking a todo done / partial / blocked after its subagent returns,
  • appending newly-discovered issue files to the end of the list,
  • unblocking a todo when its blocker moves to issues/done/.

4. Get recent context

Run git log --oneline -20 yourself to summarize what's already been shipped. Pass this summary to the subagent so it doesn't repeat completed work.

5. Spawn a subagent

Use the Agent tool (subagent_type: general-purpose) so the main context stays clean. The prompt MUST be self-contained and include:

  • The full content of the issue file
  • The issue's filename (so the subagent can move it on completion)
  • The discovered feedback-loop commands (test + typecheck/lint)
  • The recent commits summary
  • These instructions:

- Explore the repo first - Implement using the tdd skill (red → green → refactor, vertical slices) - Before committing, run the feedback loops; fix failures - Commit with a message that includes: key decisions made, files changed, blockers/notes for next iteration - On success: git mv issues/<file>.md issues/done/<file>.md - On partial completion: append a ## Progress note (YYYY-MM-DD) section to the issue file describing what was done and what's left, then commit - Report back: which issue, status (done / partial), commit SHA, any blockers

See SUBAGENT_PROMPT.md for a copy-pasteable prompt template.

6. Update the TODO and loop

After the subagent returns, update the corresponding todo immediately — do not batch:

  • done → mark the todo completed.
  • partial → mark it completed with a (partial — see progress note) suffix; the issue file stays in issues/ and will be picked up again on a future run, but do not re-run it in this loop.
  • blocked → mark it [blocked: <reason>] and move on to the next pending todo.
  • hard blocker for the whole loop (broken test infra the subagent can't fix, missing dep, etc.) → surface to the user and stop.

Then check for new issue files (a subagent may have split a task or filed a follow-up). Append any new ones to the end of the TODO list using the same sort rules — but do not reorder existing todos.

Loop to step 4. When all todos are done/blocked, output <promise>NO MORE TASKS</promise>. If only blocked todos remain and nothing can unblock them, surface the blocker chain to the user before stopping.

Rules

  • One task per subagent. Never bundle.
  • Never touch HITL issues — leave them for the user.
  • Never git push unless the user explicitly asks.
  • Never skip hooks (--no-verify, etc.).
  • If the discovered feedback loops fail and the subagent can't fix them, treat it as a blocker — do not commit broken code to keep the loop moving.
  • Never re-sort the TODO list mid-loop. Order is decided once at step 3. If you find yourself comparing two same-tier issues to decide which to do "next," stop — the filename tie-breaker already decided. This rule exists to prevent the infinite-thinking-loop failure mode where the model spins re-weighing equally-workable issues every iteration.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.8%
按下载量换算26

Claude

30.26%
按下载量换算22

Cursor

16.41%
按下载量换算12

Gemini CLI

9.75%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/ishakantony/skills --skill tackle-issues 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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