Si /Exec-Review AI Skill a ɛbɛma woagyae Guessing Nea Wo Kannifo Pɛ

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Dear subscribers,The biggest time-waster at tech companies isn’t meetings, Slack, or writing docs.It’s trying to predict what your leader wants.I’ve been in so many hallway nkɔmmɔbɔ a nkurɔfo rebɔ mmɔden sɛ wobesusuw sɛnea CEO anaa VP bɛyɛ n’ade wɔ emu krataa bi ho. Wɔ saa post yi mu no, mɛkyerɛ wo sɛnea wobɛkyekyere /exec-review skill na ama woanya wo kannifo no nsɛm ansa na nhyiam ankasa no aba. Yɛbɛkata so:Nea /exec-review ahokokwaw no yɛSɛnea wobɛkyekyere /exec-review ɔkannifoɔ profile wɔ anammɔn 6 muThe full /exec-review skill with an example leader profileMede ahoahoa me ho sɛ me ne no ayɛ adwuma...GranolaGranola yɛ m’anigyeɛ AI nhyiamu nsɛm app na nkɔmmɔbɔ yɛ ne ade a wɔmfa nyɛ hwee. Mede di dwuma bere nyinaa de:Catch up on meetings live. Bisa kɛkɛ sɛ “Bɔ nkɔmmɔbɔ no mua de besi ha.”Nya mmuae wɔ nhyiam ahorow nyinaa mu. Sɛ nhwɛso no, “Dɛn ne yɛn feature requests a ɛsen biara?” after a week of customer calls.Try Granola for FreeWhat the /exec-review skill doesThis skill is inspired by my friend Jagjit (VP Product at Meta).Na Jagjit abrɛ sɛ ɔde nsɛm koro no ara bɛma mpɛn pii, enti ɔkyekyee ahokokwaw a ɛkyere sɛnea ɔhwɛ nkrataa mu pɛpɛɛpɛ. Ne PMs betumi de ahyɛ Claude Code mu na wɔanya feedback wɔ Jagjit nne mu bere biara a wɔpɛ. Mede ahokokwaw no sɔɔ hwɛe denam ɔkwan dedaw bi a mede bɛka ho so. Jagjit AI was blunt:“This doc is too long. Lead with current status and learnings.”“Dɛn ne gyinaesi ahorow 2-3 a wuhia fi me hɔ? Ma ɛno da adi pefee.”“Ɛhe na nea wonnim no wɔ? Ka asiane ahorow no ho asɛm pefee.”If you’ve been in an exec review, these comments probably sound familiar. Nsonsonoeɛ no ne sɛ saa ahokokwaa yi ma wo nsɛm a wobɛka ansa na woayɛ nhwehwɛmu ankasa enti wobɛnya berɛ asiesie doc no. Ɔfã a eye sen biara ne sɛ:Wobɛtumi de akannifoɔ profile dodoɔ biara a wopɛ aka saa ahokokwaa yi ho.Got a VP, a CPO, and a CEO who all review your docs? Yɛ ɔkannifoɔ profile ma obiara na fa wo doc no fa mmiɛnsa no nyinaa mu denam /exec-review so ansa na nhyiamu no aba. Ma menkyerɛ wo sɛdeɛ wobɛkyekyere ɔkannifoɔ profile.Sɛnea wobɛkyekyere ɔkannifoɔ nhwehwɛmu profile wɔ anammɔn 6 muA snapshot of Jagjit’s decision-making framework. Ne nimdeɛ nyinaa yɛ nkyerɛwde 11,000+Here’s how to create a profile (titiriw no text file) ama ɔkannifo biara:Core principles. Gyidie titire 3-5 a ɛkanyan ɔkannifoɔ no nsɛm a ɔka. Wɔ Jagjit fam no, saa nnyinasosɛm ahorow yi bi ne “Asɛm a ɛnyɛ den na fa w’adwene si nea ɛkɔ akyiri so” ne “Ka nneɛma a wonnim ne asiane ahorow ho asɛm pefee.”Mmuae nhyehyɛe. Nsɛmmisa a akannifo san ka bio wɔ nsusuwho mu. Wɔ Jagjit fam no, eyinom bi ne: “Dɛn na yɛasua de besi nnɛ? Dɛn na ɛreyɛ adwuma na dɛn na ɛnyɛ?” ne “What’s the northstar vs. supporting metrics?”Gyinaesi nhyehyɛe. Nea ɛma thumbs up vs. nea ɛkanyan pushback. Jagjit wɔ checklist a edi mũ ma eyi na me pasted snapshot bi wɔ atifi hɔ.Communication style. Nhwɛsoɔ ankasa a ɛkyerɛ sɛdeɛ ɔkannifoɔ no di nkitaho sɛdeɛ ɛbɛyɛ a nsɛm a wɔka kyerɛ no wɔ wɔn nne mu. Hwɛ nhwehwɛmu a wɔahyehyɛ no mu. Nhwehwɛmu kratasin a wɔahyehyɛ a ɛsɛ sɛ wotu mmirika fa mu bere a wɔrehwɛ krataa bi a ɛfa nhyehyɛe, emu da hɔ, botae ne metrics, asiane ahorow, ne nea ɛkeka ho.Nhwɛso nhwehwɛmu nsɛm. Nsɛm a wɔafa aka ankasa afi ɔkannifo no nsɛm a atwam mu de akyekye AI no nne. Nhwɛsoɔ: “Dɛn ne nneɛma 2-3 a ɛhia sɛ mekari ho?”Copy /exec-review ahokokwaa a ɛdi mũ no ne ɔkannifoɔ profileSɛnea ɛbɛyɛ a ɛbɛyɛ mmerɛ ama wo sɛdeɛ ɛbɛyɛ yie no, mede fael mmienu ahyɛ mu ama wo sɛ wobɛhyehyɛ /exec-review ahokokwaa no seesei ara:skill.md: Ɛka kyerɛ Claude sɛdeɛ wobɛkyekyere ɔkannifoɔ nhwehwɛmu profael foforɔ a ɛwɔ afã 6 a ɛwɔ atifi hɔ no. Mede anammɔn a wɔfa so boaboa source material ano (e.g., meeting transcripts) aka ho.leader-review.md: Jagjit’s leader review profile a masesa no kakra de ayi nsɛm a ɛho hia afi hɔ.Brɛ Claude kɛkɛ sɛ: “Sɛhyehyɛ /exec-review skill a ɛwɔ skill.md ne leader-review.md a ɛka ho no” na afei na fa fael abien no kɔpi below./exec-review skill.mdEha na skill.md no nyinaa wɔ ma wo sɛ wobɛkyerɛw: Kenkan pii

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