Produce one of three learning-agenda output types: canonical federation agenda (v1), 1-page quarterly RAG dashboard (v2), or MA adaptation template (v3), operationalising the IPPF EN A+C hybrid locked 2026-05-10. Reuses verified citations from the wiki only; never fabricates sources; applies the IPP

Learning Agenda Three output types. v1 = canonical federation agenda (the annual standing document). v2 = quarterly 1 page RAG dashboard. v3 = MA adaptation template each Member Association uses to anchor its own agenda to the federation. The skill enforces the A+C hybrid discipline locked 2026 05 10: USAID document structure plus Patton use anchoring per question, with Britton style after action review posture in the annual refresh. When to use Trigger on any of: "learning agenda", "federation learning agenda", "annual learning questions" "RAG dashboard" in the context of the agenda; "quarterly status of learning agenda" "MA learning agenda", "MA adaptation template", "MA level learning agenda" "refresh the agenda", "draft the 2027 cycle agenda", "federation MEL annual refresh" explicit naming of an output type ( v1 , v2 , v3 , canonical , rag dashboard , ma template ) Do not trigger for: learning products derived from a Researcher Evidence Brief — that is the learning product skill general decision memos — that is the decision memo skill general organisational learning frameworks — that is the evidence synthesis skill running against the organisational learning senge argyris wiki page programme M&E plans, results frameworks, indicator sets — those are separate skills the Researcher Evidence Brief that answers a learning agenda question — that is the researcher skill Required inputs Ask in one batch. Inputs marked required must be present at invocation; inputs marked optional carry defaults. 1. Output type (required): one of canonical (v1, full federation agenda), fragment (single question entry — a sub mode of v1 producing one Tier 1 or Tier 2 question entry without full document scaffolding; used for validation, peer review of a candidate question, or iterative agenda construction), rag dashboard (v2), ma template (v3). 2. Cycle name (required): e.g. 2027 , FY2027 28 , 2026 2028 biennium . Used in the title block and refresh cadence. 3. Federation strategic context (required for v1; optional for v2/v3): one paragraph or pointer to a strategic plan refresh document naming the strategic pressures that shape the cycle. 4. Question list (optional for v1): if Ane provides a list of learning questions with proposed Tier 1/Tier 2 classification, the skill structures them into the agenda format. If absent, the skill drafts illustrative questions from the strategic context and flags every question with ⚠️ Reasoned default — confirm with federation MEL function . 5. Anchored v1 path (required for v2 + v3): file path to the canonical agenda the v2 or v3 references. Default: agent improvements/learning agenda exemplar v1.md (the exemplar) for skill validation; in real use, the path to the current cycle's canonical agenda. 6. Period (required for v2 only): e.g. Q2 2027 . Used in the dashboard title block. 7. Status updates (optional for v2): per question RAG status + one line note. If absent, the skill produces an illustrative status flagged as such. 8. MA name (required for v3): the IPPF EN Member Association name (e.g. IPPF Romania (SECS) , IPPF Albania ). 9. MA strategic context (required for v3): one paragraph naming the MA's operating context that shapes its agenda. 10. MA question list (optional for v3): MA specific questions; if absent, skill drafts from the strategic context and flags as reasoned default. 11. Cross MA naming convention (optional, all output types): name (default per locked decision 11) or sub region (the redaction fallback). Country level naming triggers a redaction candidate flag in the provenance footer. Session start 1. Read this SKILL.md fully. 2. Read the matching exemplar at agent improvements/learning agenda exemplar v[1 2 3].md for the requested output type. The exemplar is the structural target. 3. Read the framework foundation at mel wiki/wiki/frameworks/learning agenda usaid cla 2022.md and mel wiki/wiki/frameworks/utilisation focused knowledge management.md once per session if not already in context. 4. Read ~/.claude/CLAUDE.md audience tier register section once per session if not already in context. Workflow Step 1 — parse inputs and route Identify output type. If missing or ambiguous, ask Ane in one round: "Which output type? canonical (v1, the annual federation agenda), rag dashboard (v2, the 1 page quarterly status), or ma template (v3, the MA adaptation template)?" If ma template is selected without an ma name parameter, ask for it in the same round. If fragment is selected, additionally ask: which Tier ( 1 or 2 ) and what question text. If a Tier 1 fragment is requested without enough context to populate the three Patton anchors (decision maker + commitment to use + use champion), the skill drafts reasoned defaults from the federation strategic context and flags each anchor ⚠️ Reasoned default — confirm before publication . Step 2 — load source material Read in order: 1. agent improvements/learning agenda exemplar v[N].md — structural target for the requested output. 2. mel wiki/wiki/frameworks/learning agenda usaid cla 2022.md — framework foundation; the four element USAID template + three anchor Patton extension definitions. 3. mel wiki/wiki/frameworks/utilisation focused knowledge management.md — use anchoring operational principles. 4. For v2 and v3: the v1 path provided. 5. agent improvements/learning agenda design brief.md "Decisions locked" section — the 12 spec session decisions that shape the output. Step 3 — apply the output type sub prompt Route to one of the three sub prompts below. Each sub prompt instantiates the corresponding exemplar's structure against the inputs. Step 4 — apply quality gates (all output types) Before returning the draft: A+C hybrid discipline. USAID document structure + Patton use anchoring per Tier 1 question + Britton style AAR posture in the annual refresh section (v1 only). Mixing partial discipline produces partial output. Tier 1 discipline. Every Tier 1 question carries: question + method + decision + use plan (USAID four elements) PLUS decision maker + commitment to use + use champion (Patton three anchors). Missing any anchor flags ⚠️ Tier 1 anchor incomplete — confirm or downgrade to Tier 2 . Tier 2 discipline. Tier 2 questions carry method + indicative use case. They do NOT require a named decision maker, by design (decision 7). Tier 1 / Tier 2 split. ~60/40 ratio with Tier 1 dominant. v1 with all Tier 2 fails the A+C hybrid; v1 with no Tier 2 collapses to pure Patton (rejected at the spec session). Voice register. v1 uses junior MEL register: framework names visible, callout boxes (common pitfall, why this matters, worked example), glossary footer, annotated evidence base. v2 and v3 use Tier 1 working brief default: no callouts, no glossary, compact. Cross MA naming. Default name per locked decision 11 (different from learning product which defaults to sub region). Country level naming triggers redaction candidate flag in provenance footer. Citation placement. Inline citations only when the framework name is itself the teaching point in v1 junior MEL register; otherwise Evidence base: at end of section. URLs reused from the wiki; not fabricated. Citation rigour. Author surname + year + venue + section where applicable. Verified URLs from the framework wiki pages only. No new sources introduced by the skill. Sentence length. Under 25 words. Active voice. No em dashes in body prose. No nominalisations where a verb works. Plain English. Anglo Saxon over Latinate. Acronyms spelled on first use, every document. Translatability test for ECA / SSA / MENA readers. Narrative prose model + fidelity gate (per agent improvements/model selection policy.md ). Where the agenda carries illustrative narrative prose (worked example callouts, scenario inserts) constrained to a verified source, that narrative sub step MAY be drafted via a Fable per call override; if so, the prose fidelity gate (Gate 2 in the policy) is MANDATORY, run on Sonnet against the source, with every flag cleared before inclusion. Structured agenda, dashboard, and template content stays on this skill's own model. IPPF Visual Identity 2025. When Word, PPTX, or PDF artefact is requested, route through ane package.reporting brand template entry points. No hard coded colours, fonts, or formats. Step 5 — provenance footer Every output ends with a How this <agenda dashboard template was made block: One paragraph naming the source design brief ( agent improvements/learning agenda design brief.md ), the cycle name, the voice register applied, and the brand template path. A Cross MA references named: line listing every MA named in the body. v1 defaults to naming MAs; v2 carries forward whatever v1 named; v3 names the MA the template is for plus federation question anchored MAs. A Redaction note: paragraph stating the names by default policy and the sub region fallback. If any country level naming surfaces an externally sensitive case, a Redaction candidates: list flags it for Ane's manual review. A Companion artefacts in the three exemplar series: line for v2/v3 cross referencing the other two outputs as agent improvements/learning agenda exemplar v[N].md or the current cycle equivalents. Step 6 — return Return the draft as text in the assistant turn. v1 (long form) may also generate a Word document via ane package.reporting.word export.write word report if Ane asks. v2 (1 page dashboard) may generate a PDF via ane package.reporting.pdf export.write pdf report if Ane asks. v3 (MA template) may generate a Word document for hand off to MA MEL Coordinators. Sub prompt — v1 — canonical federation learning agenda Default length. 5,000–7,000 words (≈ 6–10 pages). Hard cap: 8,000 words. Below 4,000 fails the substantive density test for an annual standing document. Default question count. 12 questions (Tier 1×7 + Tier 2×5). Allowed range 8–15 (USAID guidance band per decision 5). Below 8 is too sparse for federation level scope; above 15 dilutes inquiry capacity. Required structure (mirror learning agenda exemplar v1.md ): 1. Title block — title, audience (federation MEL function + senior management + MEL CoP + MEL leads at all active MAs + new MEL hires), cycle, length, voice (Tier 1 working brief, junior MEL register), refresh date, quarterly RAG schedule. 2. Executive summary — 2 minute read. Counts of Tier 1 / Tier 2; top three changes from prior cycle; named use champion for cross question coherence. 3. How to read this agenda — junior MEL pedagogical insert. Names the six sections; explains the junior MEL register choice; uses one Why this matters callout. 4. Cycle context and design choices — strategic frame; A+C hybrid rationale; one Common pitfall callout; Evidence base for the design line annotated in junior MEL register style. 5. The twelve learning questions — Tier 1 first (7 questions), Tier 2 second (5 questions). Each Tier 1 question carries: Question; Method; Decision the answer informs; Use plan; Decision maker; Commitment to use; Use champion; Tier (= 1); plus inline Evidence base for the question line. At least one Tier 1 question carries a Worked example — how to read a Tier 1 question callout (junior MEL pedagogy). Each Tier 2 question carries: Question; Method; Indicative use case; Why Tier 2; Tier (= 2); plus inline Evidence base for the question line. 6. Inquiry investment summary — table: question / Tier / method / staff days / direct cost. Total row. Tier 1 / Tier 2 split row showing the discipline (Tier 1 holds 60–80% of staff days). One Common pitfall callout on the discipline. 7. Review checkpoints — Quarterly RAG (light touch, 1 page format pointing at v2 exemplar) + Annual refresh (Britton AAR posture). At least one Worked example