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Get Started Free →Execution-gap audit - cross-references the startup idea backlog against shipped skills, prototypes, and cross-repo PRs, surfacing the top 3 ideas to build next by narrative and operator fit.
.claude/skills/aeonfun-idea-pipeline/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-08 | ✗→✓ | ▲ Improved | 86% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 220% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 109% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 187% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 163% | 0% |
> ${var} — Optional theme filter (e.g. "crypto", "AI agents", "consumer"). If empty, scans all ideas. A pick:<id|name> value (from the "build next?" force-reply — e.g. pick:2 or pick:Onchain reputation) instead marks that idea as chosen-to-build in the backlog and ends, skipping the audit — see step 0.
Today is ${today}. Read memory/MEMORY.md before starting. If soul/SOUL.md + soul/STYLE.md exist and are populated, read them to ground "operator fit" scoring; otherwise score on the idea's general buildability and timing alone.
idea-validator evaluates ideas. Nothing tracks execution. Backlogs of dozens of ideas accumulate — some validated, most unscreened — with zero visibility into which ones have been acted on vs which are rotting. This skill gives that view: pipeline size, execution rate, and the 3 ideas closest to being buildable right now.
pick:<idea> (run FIRST, before anything else)Before any other work, inspect ${var}. If it starts with pick:, this run is the operator answering the "which idea to build next?" force-reply — do not run the normal audit. Handle it and end:
sel="${var#pick:}", then trim surrounding whitespace. The remainder may contain colons/spaces — keep them.sel is empty, send a plain re-ask (no force-reply) and end: ./notify "Which idea should I mark as next to build? Reply with its name or backlog number."memory/topics/startup-ideas.md. If it's missing or has no idea rows, ./notify "No idea backlog yet — nothing to mark. Run idea-forge generate to fill it first." and end.sel to exactly one idea row in the table (columns | date | name | one-liner | fit | T+F+E |):name cell; else fuzzy — the row whose name shares the most significant words with sel, or where sel is a substring of the name (or vice-versa). Require one clear best match.sel is a bare integer N and no name matches, take the Nth data row (1-based, in file order)../notify "Couldn't find an idea matching \"<sel>\". Reply with the exact name or backlog number. Candidates: <name1>, <name2>, <name3>." ✓ selected ${today} to the end of that row's name cell, keeping the table pipes intact. If the cell already carries a ✓ selected marker, leave it (idempotent) — it's already queued../notify (keep it clean — no test/trace/ping/debug substrings): ./notify "Marked \"<idea name>\" as next to build — flagged in the backlog. Run /feature or /deploy-prototype on it when you're ready." Do not auto-dispatch any skill — marking chosen is the safe action.memory/logs/${today}.md under a ### idea-pipeline heading: - IDEA_PIPELINE_PICK: marked "<idea name>" as chosen-to-build (from a pick: reply).Read memory/topics/startup-ideas.md. If it doesn't exist, log IDEA_PIPELINE_SKIP: no backlog at memory/topics/startup-ideas.md and stop — there's nothing to audit.
Parse the ideas table: extract name, one-liner, category/vertical, and date added for each idea. Total = N_total.
Read memory/topics/startup-ideas-screened.md (create if missing — empty table header only).
Extract ideas that have been screened. N_screened = count of rows.
From screened ideas, note those with viability >= 9 (high-potential). These are the priority pipeline.
Scan skills directory:
bashls skills/
Collect the list of skill directory names. These are "executed ideas" in the agent space.
Scan cross-repo PRs by the operator and their bot accounts. Read memory/topics/git-identities.md if present (operator-defined list of GitHub usernames to scan). Fall back to the workflow's GITHUB_ACTOR if no list is configured.
bashgh pr list --author ${USERNAME} --state merged --limit 30 --json title,url,mergedAt
Scan deployed prototypes: read memory/topics/prototypes.md (or memory/topics/vercel.md) if either exists. Treat any project flagged as a prototype/MVP as a shipped idea.
Scan recent builds: read the last 14 days of memory/logs/ and collect any BUILD_SKILL_OK, CREATE_SKILL_OK, or DEPLOY_PROTOTYPE_OK entries.
For each idea in the full backlog:
executed (clear match found) or unexecutedN_executed = count of ideas with a clear match. N_gap = N_total − N_executed.
Read memory/topics/market-context.md if present for current narrative keywords (tokens trending, tech themes, regulatory signals).
Read recent logs for any narrative signals (last 3 days).
Compile a list of 8–12 active narrative keywords (e.g. "agent payments", "RWA", "prediction markets", "privacy coins"). If no market-context source exists, derive keywords from recent digest, hacker-news, or github-trending outputs.
Read memory/topics/ecosystem.md if it exists (written by builder-map). This is the second-stream feed — "who's adopting the watched stack" becomes idea fodder.
Extract two things:
Compile:
underserved_categories — list of 2–5 categories with thin builder coverageadjacent_verticals — list of 2–4 non-obvious verticals with active buildersIf memory/topics/ecosystem.md doesn't exist yet, skip this step and log idea_pipeline: ecosystem_feed=unavailable in step 10. Do not block the run.
For each UNEXECUTED idea, compute a priority score:
priority = narrative_fit + operator_fit_estimated + recency_bonus + ecosystem_gap_bonus
narrative_fit: 0–4 (count of active narrative keywords that appear in idea name/one-liner/category; cap at 4)
operator_fit_estimated: 0–2 — read `soul/SOUL.md` if present; +2 if the idea matches the operator's stated themes, +1 if it's solo-buildable AND adjacent to current work, 0 otherwise. If no soul file, score 0 here and let other factors decide.
recency_bonus: 2 if added in last 14 days; 1 if last 30 days; 0 otherwise
ecosystem_gap_bonus: 3 if idea's category matches an `underserved_category` from step 5b; 2 if it matches an `adjacent_vertical`; 0 otherwiseTie-break preference when scores match: ideas that fill an underserved-category gap > ideas that hit a hot narrative. The ecosystem signal is structural (where the stack is going); narratives rotate.
If ${var} is set, additionally filter to ideas whose category/text matches ${var}.
Sort descending. Pick top 3. For each pick, in step 7's Why now: line, name the ecosystem signal explicitly if ecosystem_gap_bonus > 0 (e.g. "no builders on the stack in this category yet" or "adjacent-vertical adoption arc").
Write to output/articles/idea-pipeline-${today}.md:
markdown# Idea Pipeline — ${today} **Total ideas:** N_total | **Screened:** N_screened | **Executed:** N_executed | **Gap:** N_gap ## Build This Week ### 1. [Idea Name] **One-liner:** [one-liner from backlog] **Why now:** [1–2 sentences connecting to active narratives or ecosystem signal] **Operator fit:** [why this fits the operator's stack/worldview — derived from soul/SOUL.md if present, otherwise the idea's general buildability] **Execution path:** [one sentence on fastest way to build — skill, prototype, or external PR] ### 2. [Idea Name] ... ### 3. [Idea Name] ... ## Execution Log Ideas already shipped (skill/prototype/PR match found): - [executed idea] → [matching skill name or PR URL] - ... ## High-Potential Unscreened Top 3 ideas not yet screened by idea-validator that look most promising by keyword signal alone: - [idea] — [one-liner] - ... --- *Source: memory/topics/startup-ideas.md | Generated by idea-pipeline*
Always notify.
Write to .pending-notify-temp/idea-pipeline-${today}.md (create dir if needed), then:
bashmkdir -p .pending-notify-temp ./notify -f .pending-notify-temp/idea-pipeline-${today}.md
Notification format — match the operator's voice if soul files are populated, otherwise direct and neutral:
idea pipeline — ${today}
${N_total} ideas. ${N_screened} screened. ${N_executed} executed. ${N_gap} waiting.
build this week:
1. [Idea Name] — [one-liner]
why now: [1 sentence on timing/narrative fit]
path: [skill / prototype / external-PR in ~N days]
2. [Idea Name] — [one-liner]
why now: [1 sentence]
path: [...]
3. [Idea Name] — [one-liner]
why now: [1 sentence]
path: [...]Keep under 3000 chars.
If at least one idea was surfaced under "Build This Week", offer the operator a one-tap way to pick which to build — as a separate ./notify after the digest (a digest and a force-reply prompt can't share one Telegram message). Skip the offer entirely on a run that surfaced no picks.
Dedup to once per day: scan the last ~2 days of memory/logs/ for FORCE_REPLY_OFFERED: idea-pipeline::pick; if present, skip this offer. Otherwise send:
bash./notify "Which of these should I mark as next to build? Reply with the idea's number or name." \ --force-reply --placeholder "idea # or name" \ --context "idea-pipeline::pick"
Then record the FORCE_REPLY_OFFERED: idea-pipeline::pick marker in step 10. A pick: reply routes back to this skill and is handled by step 0.
Append to memory/logs/${today}.md:
markdown### idea-pipeline - **Total ideas:** N_total - **Screened:** N_screened (by idea-validator) - **Executed:** N_executed (skill/prototype/PR match) - **Gap:** N_gap unexecuted ideas - **Top pick:** [idea name] — [priority score] - **Ecosystem feed:** [available / unavailable] — [N underserved categories, M adjacent verticals] (from builder-map ecosystem.md, last run [date]) - **Filter:** [var value or "none"] - **Notification:** sent - **Force-reply offer:** [offered / skipped — already offered in last 2 days / skipped — no picks] - FORCE_REPLY_OFFERED: idea-pipeline::pick ← include this exact line ONLY when the offer was actually sent (it's the once/day dedup marker) - IDEA_PIPELINE_OK
None. Uses local file reads and gh CLI (authenticated via GITHUB_TOKEN in workflow).
No external network calls in the main logic. gh pr list uses the gh CLI which handles auth internally (no curl + token pattern needed). WebSearch not required — narrative context comes from memory/topics/market-context.md if a market-context skill has populated it.
Other measured skills in the registry, with their headline benchmark lift.