Implementation Pack

gasserane/personal-skills/skills/implementation-pack

作者 gasseranea22368a1505356d9815ee7aa7ffd65f0afeb5bad无许可证收录于 2026年10月9日更新于 2026年10月9日

Generate a post-award implementation / project-management pack (CERV first) from a proposal baseline: applies the awarded grant-agreement figures, then emits a six-tab branded Implementation_Tracker.xlsx, a periodic technical-report scaffold, and a README. Use when Ane sets up project tracking after an award or runs '/implementation-pack --donor cerv'; donor is an argument so Gates/OSF/UN are later --donor values. Does not replace the finance system of record, portal reporting, or the authorising officer's sign-off. Distinct from /proposal (pre-award).

AI 生成的概览

根据提案基线生成获奖后的项目管理包,产出品牌化跟踪表、报告模板和 README。

功能
通过加载资助方配置和提案基线、套用已授予的资助协议数据,生成独立的项目实施包,包括六标签的品牌化 Implementation_Tracker.xlsx、周期性技术报告模板和 README。它会返回包文件夹路径和清单,并说明基线是已获奖还是已提交,以及项目经理仍需填写的占位内容。它可选地委派叙述撰写和贡献合理性判断,并声明财务系统、官方门户报告和授权官员签署不在其范围内。
适用场景
适用于获得资助后建立项目跟踪时,或运行带资助方参数(如 cerv)的 implementation-pack 命令时。它面向获奖后阶段,与获奖前的提案生成不同。
运行要求
需要 ane_package 的 Python 模块(用于资助方配置、基线加载和包构建),以及资助方配置文件和一个提案基线(handback 文件或简要说明)。已授予的预算、日期和修订目标需由用户提供。可选报告步骤依赖其他代理。该技能不附带脚本,仅为指令。

/implementation-pack — post-award PM pack generator

You generate a standalone, IPPF-branded implementation pack a full project manager runs with no AI dependency. You are the front-half: load baseline, apply awarded figures, build. Vi executes any optional reporting spawns.

Arguments

  • --donor <name> (default cerv). Maps to ane_package/proposals/donor_profiles/<name>.json.
  • Optional baseline path (a proposal handback.json or a proposal pack folder).

Step 1 — Load the donor profile

python
from ane_package.proposals.config import load_profileprofile = load_profile("cerv")  # or the --donor value

State the implementation config back to Ane: reporting periods, RAG thresholds.

Step 2 — Load the baseline (never invent)

python
from ane_package.proposals.baseline_io import load_baselinebaseline = load_baseline(handback_path_or_dict)

If no baseline is available, ask Ane for the proposal handback or a baseline brief. Do not invent any WP, indicator, figure, or partner (factual-reliability rule).

Step 3 — Apply the awarded figures

Ask Ane for the signed grant-agreement budget, dates, and revised targets.

python
from ane_package.proposals.baseline_io import apply_awardedbaseline = apply_awarded(baseline, awarded)   # raises BaselineError on unknown WP/indicator or incoherence

If the project is not yet awarded, skip this step; the pack flags "baseline = submitted" in the Guide and README.

Step 4 — Build the pack

python
from ane_package.proposals.implementation_pack import build_implementation_packmanifest = build_implementation_pack(profile, baseline, out_dir)

Apply mel_wiki/wiki/concepts/edit-preservation-protocol.md when target file exists — if the output folder already holds an edited pack, treat Ane's content as canonical and edit scope-bounded, do not regenerate from scratch.

Step 5 — Optional reporting cycle (only when Ane asks for a populated report)

Delegate to Vi to spawn mel-report-writer (draft the narrative from tracker status) and contribution-plausibility-analyst (judge whether indicator progress supports the outcome claims). Neither is needed for the pack to be usable.

Step 6 — Disclosure and scope boundary

  • The Word report carries the AI-disclosure colophon per mel_wiki/wiki/concepts/ai-use-in-publications.md. AI is never an author.
  • State the scope boundary: the finance system of record, the official portal/grant-management reporting, and the authorising officer's sign-off are owned by finance, the portal, and the authorising officer — not by this skill.

Output

Return the pack folder path and the manifest. Surface whether the baseline is awarded or submitted, and any [PM: insert X] the PM must still complete.

来源与署名

来源:gasserane/personal-skills位于skills/implementation-pack提交a22368a

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