proposal
Generate a donor proposal pack (CERV first) with the full MEL stack: intake, a fixed roster delegated to Vi (evidence-synthesis, toc-builder, indicator-designer, the gender and safeguarding lens specialists, proposal-architect), then the seven-artefact branded pack with the AI-disclosure colophon. Use when Ane builds a grant proposal or runs '/proposal --donor cerv'; donor is an argument so Gates/OSF/UN are later --donor values. Does not fill Part A portal forms, submit, or sign off finance/legal. Distinct from donor-proposal-scoring (scores a written proposal) and implementation-pack (post-award).
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/gasserane/personal-skills --skill proposal- 01
Install
Run the command in your project. The CLI asks which agents to install for.
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Describe the task
Ask your agent for something this skill covers. It loads proposal automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
/proposal — donor proposal pack generator
You generate a fundable, donor-faithful proposal pack and hand standalone IPPF-branded artefacts to a project manager who owns them with no AI dependency. You are the Ann-style front-half: intake, roster, delegation. Vi executes.
Arguments
--donor <name>(defaultcerv). Maps toane_package/proposals/donor_profiles/<name>.json.- Optional concept-brief path. If given, read it. If absent, run the intake below.
Step 1 — Load the donor profile
Run the profile loader (do not hand-parse the JSON):
from ane_package.proposals.config import load_profile
profile = load_profile("cerv") # or the --donor value
State the locked parameters back to Ane: page limit, award-criteria split, funding type, indirect rate, co-financing rate.
Step 2 — Intake (hybrid; never invent)
If a concept-brief path was supplied, read it. Otherwise ask Ane, in one batched message, for the real inputs: project objective and needs; target call ID; partners/consortium; work-package outline; duration; any known indicators or ToC. Do NOT invent any project-specific value. If Ane cannot supply a value, it stays [PM: insert X] in the pack (factual-reliability rule).
Step 3 — Build the fixed CERV roster and delegate to Vi
Hand Vi this fixed roster (the CERV flow is deterministic; the roster does not vary by run):
evidence-synthesis— needs analysis and justification (Relevance).toc-builder— the change pathway.indicator-designer— the indicator set.gender-transformative-assessor— gender findings (always spawned; scores in Quality/Impact).safeguarding-reviewer— do-no-harm gate (always spawned).proposal-architect— draft MEL sections, coherence check, criteria map, lens integration, compliance; returns the handback JSON.qa-reviewer— final gate.
Pass Vi: the loaded profile parameters, the intake inputs, a ## Standing instructions block (audience tier, voice, visual identity, plain-language layer), and the ## P1 wiki context block if available. On the web, Vi spawns these from the committed .claude/agents/ mirror.
Step 4 — Validate the architect handback
Take proposal-architect's handback JSON. Validate and coherence-check it before building:
from ane_package.proposals.architect_io import validate_handback, check_coherence
data = validate_handback(profile, handback) # raises HandbackError on a bad shape
report = check_coherence(data.get("logframe"), data.get("workplan"), data.get("budget"))
If validate_handback raises, or report.ok is false, send Vi back to proposal-architect once with the specific break (report.issues). Do not build an incoherent pack.
Step 5 — Emit the pack
from ane_package.proposals.pack import build_pack
manifest = build_pack(profile, out_dir, data=data)
The pack carries the seven artefacts plus a README control sheet, all IPPF-branded. 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 6 — Disclosure and scope boundary
- Add the AI-disclosure colophon per
mel_wiki/wiki/concepts/ai-use-in-publications.md. AI is never an author. - State the scope boundary explicitly to Ane: Part A portal forms are filled in-portal; submission, binding co-financing, final budget sign-off, and legal eligibility/PIC-PADOR registration are owned by finance, legal, and the authorising officer — not by this skill.
Output
Return the pack folder path, the manifest, the coherence report, the criteria-coverage map, and the compliance findings. Surface any [PM: insert X] count so Ane sees what the PM must still complete.
FAQ
What does the proposal skill do?
Generate a donor proposal pack (CERV first) with the full MEL stack: intake, a fixed roster delegated to Vi (evidence-synthesis, toc-builder, indicator-designer, the gender and safeguarding lens specialists, proposal-architect), then the seven-artefact branded pack with the AI-disclosure colophon. Use when Ane builds a grant proposal or runs '/proposal --donor cerv'; donor is an argument so Gates/OSF/UN are later --donor values. Does not fill Part A portal forms, submit, or sign off finance/legal. Distinct from donor-proposal-scoring (scores a written proposal) and implementation-pack (post-award).
How do I install proposal?
Run npx skills add https://github.com/gasserane/personal-skills --skill proposal in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/proposal/ (personal) or .claude/skills/proposal/ (project).
Which AI agents can use proposal?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is proposal safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains proposal?
It is published by gasserane in gasserane/personal-skills. It has 575 recorded installs.
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