Implementation Pack

gasserane/personal-skills/skills/implementation-pack

by gasseranea22368a1505356d9815ee7aa7ffd65f0afeb5badNo licenseListed Oct 9, 2026Updated Oct 9, 2026

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-generated overview

Generates a post-award project-management pack from a proposal baseline, producing a branded tracker spreadsheet, report scaffold and README.

What it does
Builds a standalone implementation pack for a funded project by loading a donor profile and a proposal baseline, applying awarded grant-agreement figures, and emitting a six-tab branded Implementation_Tracker.xlsx, a periodic technical-report scaffold and a README. It reports the pack folder path and a manifest, and flags whether the baseline is awarded or submitted plus any placeholders the project manager must complete. It can optionally delegate narrative drafting and contribution-plausibility checks, and it states that finance systems, official portal reporting and authorising-officer sign-off remain outside its scope.
When to use it
Use it when setting up project tracking after a grant award, or when running the implementation-pack command with a donor argument such as cerv. It is intended for post-award work, distinct from pre-award proposal generation.
Requirements
Requires the ane_package Python modules for donor profiles, baseline loading and pack building, plus a donor profile file and a proposal baseline (handback file or brief). Awarded budget, dates and revised targets must be supplied by the user. Optional reporting steps depend on other agents. It ships no scripts and is instructions only.

/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.

Source and attribution

Source:gasserane/personal-skillsinskills/implementation-packat commita22368a

License: No license

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