将大型调研或生成任务分配给多个AI模型,完成计划评审、并行执行、成果验证与整合,并记录各负责角色的进度和重试情况。
- 并行调研多个竞争对手
- 分担大型内容生成任务
- 让顾问评审计划或草稿
通过本地Git历史盘点中断的个人项目,整理可能的停工原因和共同规律,选出一个重启候选,提出从运行检查到发布的具体步骤。
Scans the developer's machine for dead side projects, autopsies each one from its git history (died at the payments wall, killed by a newer project, finished but never shipped), surfaces their personal death patterns, and picks the corpse most worth resurrecting — then helps ship it. Use when the user mentions abandoned, unfinished, or old side projects, asks "what should I finish", wants to revive or resurrect a project, says "run the graveyard", wonders why they never finish anything, or is about to start a new project that sounds like one they already built. Runs entirely locally.
project-graveyard通过本地Git历史盘点中断的个人项目,整理可能的停工原因及共同规律。它检查指定文件夹中的仓库,报告活动时间段、提交次数、支持停工判断的证据和重启难度。还会查看候选项目的README与代码,选出一个项目,提出从确认能否运行到发布的具体步骤。
适合在未完成项目越来越多、不知该完成哪一个时使用,也适合回顾开发是否总在相似阶段中断。开始新想法前,可以用它寻找过去的原型。保存状态后,还能检查重启后是否持续有活动。
~/dev中尚未完成的项目。”扫描使用Python 3在本地运行,不向目标仓库写入内容。停工原因是基于历史的推测,也会向本人核实。判断是否重启时,会通过外部搜索了解当前技术和类似产品;修改仓库前会请求确认。状态保存在单独的文件中。许可证为Apache-2.0。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 仅根据 SKILL.md 的内容,从 4 个方面进行了评估。星标数和热度不计入评估。
总分按每项 A=25 分、B=15 分、C=5 分相加。 由 AI(OpenAI Codex)于 2026年10月20日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
Every developer has a folder full of dead projects. Nobody has ever gotten an autopsy report. This skill scans the machine for abandoned repos, works out why each one died from its git history, finds the user's personal death patterns, and picks the one corpse worth digging up — then helps ship it.
Everything runs locally. No API, no network, nothing leaves the machine.
kondo/npkill, not thispython3 scripts/graveyard.py ~/dev ~/projects
Point it at wherever projects actually live. If you don't know where that is, ask — one question beats sweeping someone's home directory uninvited. No args scans the usual suspects (~/dev, ~/projects, ~/code, ~/Desktop, ...). Useful flags:
--days 90 — how long silent before a repo counts as dead (default 45)--json report.json — full machine-readable data--me work@email.com — claim commits made under other emails (repeatable);
without it, projects committed via a work identity or a builder tool get
skipped as "not yours"--include-foreign — also include repos the user barely committed to
(skipped by default: clones, forks, work checkouts are not their corpses)--state FILE — remember scans and resurrections; enables relapse watchThe script is read-only. It never writes inside a scanned repo.
The script gives you four blocks: census, the dead (with cause of death),
patterns, and the top 3 by "pulse" (resurrectability score). Causes are
evidence-based guesses, not verdicts — each comes with the evidence line that
justifies it. If a cause looks wrong, check the evidence before repeating it.
The cause taxonomy and what each one means for resurrection is in
references/causes-of-death.md — read it before writing the report.
The script can only read git. You can ask. For corpses whose primary cause is
unknown or slow_fade — the low-confidence verdicts — ask the user one
question each, two or three total at most:
"
recipe-scraper— the history just shows it drifting. Do you remember what actually stopped you?"
Blend the answers in, and label verdicts honestly in the report: (forensic) for what git showed, (confirmed) for what the user told you. Testimony beats a forensic guess — update the tombstone, not just the prose. Two questions is a conversation; five is a deposition.
Turn the script output into a report the user will actually feel. Format:
Carve the resurrection pick (and only it) as an ASCII tombstone card — stone is earned, not sprayed; every other corpse stays a line in the table:
.------------------------.
/ \
| tab-sensei |
| Apr — May 2026 |
| 54 commits · 12 days |
| |
| died of deploy fear |
| |
| "It worked. It just |
| never shipped." |
___|____________________________|___
~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~
Center the text, keep the card under 44 columns so it never wraps, epitaph last. If the graveyard is empty, no card — don't carve a stone for nobody.
Epitaph rules — this is where the whole thing lives or dies:
Offer --redact framing if the user wants to share the report: project names
swapped for project-1..n, causes and patterns intact.
Pick ONE corpse. Highest pulse wins unless its idea is dead in the world too. Before deciding, read the top candidate's README and skim the code — then do the world-check, the part only you can do because the script can't see the present:
Cite what you find in the plan. "This got easier: X exists now" is the strongest argument for digging; "the window closed" is the strongest for leaving it buried.
Then write the resurrection plan. The per-cause dig strategy is in
references/causes-of-death.md (each cause has a "resurrection angle" —
deploy-fear corpses need shipping steps only, wall deaths need the managed
alternative, scope explosions get one feature extracted). Plan rules:
When to leave it buried — say it plainly when it's true: the user doesn't care anymore (a shrug at the interview is closure, not a project); the window closed and the world shipped the idea; or every candidate is weak. "Nothing here is worth digging up, and that's fine — here's what the patterns say about the next project" is a legitimate and useful ending.
When the user commits to a resurrection, record it (ask once where to keep
the state file — ~/.project-graveyard.json is a sane default):
python3 scripts/graveyard.py --state ~/.project-graveyard.json \
--mark-resurrected /path/to/the/corpse
Scans run with --state hold past resurrections to their promise: the report
gains a RELAPSE WATCH block showing whether each resurrected project is
holding or going silent again. When one relapses, say it plainly and make the
user choose — recommit or bury it honestly. A second silent death is an
answer, not a failure; close the loop instead of prescribing a third attempt.
No tool follows up on its own prescription. This one does — that's the point
of keeping state.
When the user proposes building something new, check the graveyard for prior
attempts before scaffolding anything — grep the state file (or a fresh
--json report) for name and README overlap. If there's a match:
"You already built about 60% of this. It's called
project-14, it died in March at the auth step, and its parser still works. Resurrect instead?"
Don't be preachy about it. Mention it once, let them choose, drop it.
git init, backup
tools). The scanner handles nested repos, but if the census looks absurd,
that's usually why.--me that@email.com.finished (deploy config + pushed + README)
from dead, but the heuristic is rough — ask before eulogizing anything the
user considers done.scripts/graveyard.py — scanner + autopsy + pulse ranking (stdlib, offline, read-only)references/causes-of-death.md — the taxonomy: signals, confidence, and the per-cause resurrection strategy还没有评价。欢迎分享你的使用感受。
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将大型调研或生成任务分配给多个AI模型,完成计划评审、并行执行、成果验证与整合,并记录各负责角色的进度和重试情况。
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通过本地Git历史调查代码的引入背景与修改意图,追溯最初提交及反复同时修改的文件,整理改动前需要检查的事项。
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从目标读者的角度试读发布前的文稿,检查是否愿意打开、在哪里失去兴趣,以及读后记住什么。它报告模拟读者的反应,不改写文章。
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