planning-and-task-breakdown
Skill0 starsChanged 30 days agoNo licenceView on GitHub
Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible.
77 other projects use a version of this, 55 of them edited.
Adopted by
Most recently taken up by
- ishandutta2007/Awesome-Agent-Skillsedited, first seen Nov 8, 2026
- MMACABRE/SKILLSedited, first seen Nov 8, 2026
- anotherben/claude-harnessedited, first seen Nov 8, 2026
- steven123397/nexuskit-skillsedited, first seen Nov 1, 2026
- AgnesAI-Labs/agnet-skills-cnedited, first seen Nov 1, 2026
- yuusakuri/agent-skillsword for word, first seen Nov 1, 2026
Used with
Projects with it also use constraint-driven-development, deprecation-and-migration and 8 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
MrCipherSmithSkillconstraint-driven-development
Use when a project needs a persistent, measurable quality bar — starting a project without documented standards, 'set up constraints', or when coverage/perf/a11y thresholds get re-debated per-PR. Produces CONSTRAINTS.md with enforceable numbers, ratchets, and a guard against silent weakening. NOT for throwaway prototypes or a one-off CI setup.
Also in 14 projects that use this
HK-hubSkilldeprecation-and-migration
Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when deciding whether to maintain or sunset existing code.
Also in 34 projects that use this
HK-hubSkillobservability-and-instrumentation
Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened from the available data.
Also in 26 projects that use this
seikaikyoSkilldoubt-driven-development
對非平凡決策啟動新鮮 context 對抗審查(找碴不背書),在修正還便宜的時候抓出錯誤方向。適用:高風險改動(production、資安敏感邏輯、不可逆操作)、不熟的程式碼、要宣稱「這樣是安全的 / 可行的」之前。機械性操作與一行修改不適用。
Also in 30 projects that use this
seikaikyoSkillinterview-me
需求不明時的意圖萃取訪談:一次一題、每題附上自己的猜測、聽出「真正想要 vs 覺得應該要」,直到能預測使用者反應(約 95% 信心)才動工。適用:需求缺少對象 / 動機 / 成功標準 / 約束,或使用者點名「訪談我」「先確認一下」「我們確定嗎」。明確自足的指示、純資訊查詢、機械性操作不適用。
Also in 31 projects that use this
GSA-TTSSkillarchitecture-decision-records
Load when a user wants architecture decision records (ADRs) drafted from requirements or a design discussion, asks which decisions need an ADR, or wants an ADR draft reviewed for one-sided trade-offs, weak alternatives or missing requirement links. Not for setting up a project's whole documentation system (project-documentation-system).
Also in 3 projects that use this
- +1 more from HK-hub
Other versions77 projects use a version of this.
Word for word · 4
- yuusakuri/agent-skills★ 2100% same
- FuSheng-MG/Pi-Agent-skills★ 1100% same
- lucaszb-orla/claude-skills★ 0100% same
- yasdelayu/agent-x-cc★ 0100% same
Edited · 55
- addyosmani/agent-skills★ 114k64% same
- ollaya-dev/ollaya★ 1.4k64% same
- shashankswe2020-ux/whoop-mcp★ 17499% same
- larchanka/skills★ 5085% same
- vinvcn/addyosmani-agent-skills-zh★ 4633% same
- jmxt3/gitscape.ai★ 3391% same
- sampleXbro/agentsmesh★ 2799% same
- jaskirat1616/grok-skills★ 2264% same
- ishandutta2007/Awesome-Agent-Skills★ 2199% same
- anotherben/claude-harness★ 748% same
45 more not listed
Wrote their own version · 18
- tranhieutt/software_development_department★ 71same name
- LazyIsEfficient/agentic-os★ 17same name
- moberghr/mtk-agent-toolkit★ 9same name
- momentmaker/kaijutsu★ 3same name
- allanbian1017/skills★ 2same name
- bnalwalid/walidforge-skills★ 2same name
- codexskills/agent-forge★ 2same name
- GuillemRoca/agent-skills-android★ 2same name
- Aleksandr-Litvinenko/agent-skills-ru★ 1same name
- buildpad-ai/skills★ 1same name
8 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository26 other files it gives its agents.
- vercel-composition-patterns/AGENTS.mdAGENTS.md
- vercel-react-best-practices/AGENTS.mdAGENTS.md
- agent-browser-e2e-ui-testingSkill
- agent-project-briefSkill
- api-and-interface-designSkill
- api-service-layerSkill
- architectureSkill
- brand-guidelinesSkill
- code-review-and-qualitySkill
- code-simplificationSkill
- context-engineeringSkill
- drizzle-latest-docsSkill
- frontend-designSkill
- frontend-ui-engineeringSkill
- honoSkill
- idea-refineSkill
- nestjs-docsSkill
- performance-optimizationSkill
- seo-auditSkill
- shadcnSkill
- spec-driven-developmentSkill
- system-designSkill
- vercel-composition-patternsSkill
- vercel-react-best-practicesSkill
- web-design-guidelinesSkill
- write-specSkill
The file
We split this skill into the rules it gives an agent
10 rules. 9 are common, 0 are distinctive, and 1 is very specific to this project.
9
Common
Most of the 66 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 66 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

