td-feature-synthesize
Consolidate the five tdmcp surveyor reports into one prioritized FEATURE_BACKLOG.md — dedupe cross-surface overlaps, reconcile every candidate against the…
Skill by hybridlabor-api
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Use cases: data, agent-building
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Files it touches
~/.claude/skills/td-feature-synthesize
What's inside
- Skill name
td-feature-synthesize- Description
- Consolidate the five tdmcp surveyor reports into one prioritized FEATURE_BACKLOG.md — dedupe cross-surface overlaps, reconcile every candidate against the roadmap (NEW vs planned vs extension), rank by a selectable impact×effort weighting profile into P0/P1/P2 (high-confidence first), and emit per-surface tables + a recommended-next shortlist that hands straight to the build pipeline. Use when a td-synthesizer agent is consolidating surveys during the feature-discovery harness.
- License
- Apache-2.0
- Instructions
- 90 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# td-feature-synthesize — merge, reconcile, prioritize
You consolidate up to five independent surveys into the single artifact the user wants: an honest, prioritized list of new features, organized by surface, ranked by value vs. effort under a selectable weighting profile, and ready to feed the build pipeline. Surveyors brought vetted depth; you bring judgment.
## Procedure
### 1. Gather inputs
Read every `_workspace/discovery/01_survey_{controls,library,cli,ai,td-depth}.md` that exists, plus `docs/ROADMAP.md`, `AGENTS.md`, `CHANGELOG.md`, and the `project-td-mcp-competitive-landscape` memory if present. If a survey is missing, proceed and record the gap in a coverage line.
### 2. Dedupe
Merge duplicates and near-duplicates into one entry under its best-fit surface, with a `(also raised under <surface>)` cross-ref. A control that's really a TD capability, or a CLI command that just exposes a tool, is **one** feature — not two.
### 3. Reconcile against the roadmap (honestly)
Sort every surviving candidate into three buckets and keep all three visible:
- **NEW / unlisted** — the headline value. These are what the user can't already see in the roadmap.
- **Already planned** — cite the phase (Phase 13 / deferred-v0.6.0+). Report them so the user sees what's queued and can re-prioritize, but never relabel them as discoveries.
- **Extensions** — concrete extensions of shipped tools/commands/prompts.
The credibility of the backlog *is* the deliverable — the user owns this repo and will notice inflation.
### 4. Prioritize
Score each item on impact (High/Med/Low) × effort (S/M/L), then assign a single priority:
| | S effort | M effort | L effort |
|---|---|---|---|
| **High impact** | **P0** (quick win) | P0 | P1 |
| **Med impact** | P1 | P1 | P2 |
| **Low impact** | P2 | P2 | **P2 (trap — flag it)** |
**Weighting profile.** How you weight *impact* is the most consequential call you make. Use a named profile — default unless the orchestrator passes one in the run:
| Profile | Leads with | When the user wants… |
|---|---|---|
| **`live-show`** (default) | Does this make a real set better? (audio/beat/camera-reactive, mixing, recovery, hands-free) → **quick-wins (S effort) as the tie-breaker** | the core VJ thesis — the safe default |
| `quick-win` | Lowest effort first; rank by impact÷effort, S before M before L | momentum, a release this week |
| `parity` | Competitor gaps first (8beeeaaat / Embody / dotsimulate LOPs) | closing a perceived feature deficit |
| `agent-dx` | Token-cost / agent-ergonomics wins first (cheap reads, batch, surgical edits) | making the agent cheaper & faster |
Whatever the profile, two rules always hold: a feature that makes a real show better or an agent dramatically cheaper outranks a generic nicety; and within a priority tier, **list higher-`Confidence` items first** (a vetted P1 beats a speculative P1). Respect the project's deliberate broad-tool-surface stance: propose only *additive* features, never consolidation-for-score.
### 5. Emit `FEATURE_BACKLOG.md`
Structure:
```
# tdmcp — Feature Backlog (discovery <YYYY-MM-DD>)
## Executive summary
<5–8 lines: how many candidates, how many genuinely NEW, the 3–5 strongest
themes, and the single highest-leverage recommendation. Skimmable in under a minute.>
## Coverage
<which surfaces were surveyed; any gap.>
## Recommended next — Top N
<a ranked shortlist (≈8–12) with: feature · surface · priority · effort · one-line why ·
and a "pipeline-ready" phrasing the user could paste into the build harness.>
## By surface
### Artist controls & creative tools
<table: Feature | Delivers | Effort | Impact | Conf | Priority | Novelty | Probe-first>
### Library, packaging & distribution
<table …>
### CLI & developer DX
<table …>
### AI & LLM integration
<table …>
### TouchDesigner depth (bridge + operators)
<table …>
### Cross-cutting
<table … — items that span surfaces>
## Roadmap alignment
<short: which already-planned items the surveys re-surfaced (confirming priority),
and which NEW items, if any, deserve to be promoted into the roadmap.>
```
### 6. Make it pipeline-ready
Phrase each recommended item so it can be handed straight to `tdmcp-pipeline` (e.g. "Build `create_sdf_text` — Layer 1 GLSL SDF text generator with beat-flash"). Carry any `probe-first` / `UNVERIFIED` flag through so the build harness knows to validate live first.
## Output + return
- Write `_workspace/discovery/FEATURE_BACKLOG.md`.
- Return a tight, self-contained prose summary (the orchestrator relays it): the headline NEW ideas, the recommended shortlist, and any coverage gap.
## Quality bar
- **Decide, don't hedge** — one surface, one priority, one effort per item. If surveys disagreed, pick the more conservative effort and note it in one line.
- **Tables over prose** in the per-surface sections; reserve prose for the summary and roadmap-alignment.
- **No invented operators** survive into the backlog without a `probe-live` flag.
- **Honest buckets** — if most candidates are already on the roadmap, say so plainly; the NEW set's size is a finding, not a target.From hybridlabor-api/aos, Apache-2.0.
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Signals
- Stars
- 6
- Forks
- 0
- Open issues
- 19
- Last commit (this folder)
- Aug 13, 2026 (2 months ago)
- Last release
- Oct 14, 2026 (16 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/hybridlabor-api/aos
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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td-feature-synthesize skill. Agent Mart. https://agentmart.dev/skills/hybridlabor-api-td-feature-synthesize (last updated 2026-10-24)