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SKILL verified Apache-2.0 Self-run

Leveragepath

skill-waitdeadai-minmaxing-leveragepath · by waitdeadai

Identify the highest-leverage actions for the current product based on taste.md, taste.vision, and SPEC.md, with deepresearch-backed channel scanning, RICE+categorization scoring, auto-vs-manual classification, community targets with verified URLs, and (when research surfaces moats or blind spots) a /defineicp-style proposal to update the kernel. Use when the user invokes /leveragepath or asks "w…

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Install

$ agentstack add skill-waitdeadai-minmaxing-leveragepath

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

/leveragepath

Run the leverage-path workflow for:

$ARGUMENTS

/leveragepath finds the highest-leverage distribution, positioning, and community moves available to the project right now, ranks them, separates what Claude Code can run autonomously from what only the operator can do, and — when deepresearch surfaces a moat or blind spot the dev was not seeing — proposes a kernel update so the next iteration starts from the new ground truth.

This command is not a marketing-checklist generator. It is a governed research-then-route workflow: deepresearch first, ranked move synthesis second, automation classification third, and kernel mutation only with explicit kernel-propose opt-in and proposal/apply semantics.

For apply mode or any leverage-driven file mutation, /opusworkflow is the default outer route and /leveragepath is the inner contract. Direct /leveragepath invocation remains valid, but it must inherit the Claude/Opus planner-reviewer plus MiniMax-M2.7-highspeed executor policy before mutation.

outer_route: opusworkflow
inner_contract: leveragepath

When to use this

  • The dev just shipped something and asks "where do I distribute?"
  • The dev is stuck and asks "what's the highest-leverage move I can make

right now?"

  • The dev suspects they have a moat they are not articulating publicly.
  • The dev keeps doing the same medium-leverage moves and wants a fresh

surface scan.

  • A community-led-growth or product-led-growth iteration is about to

begin and the dev wants the canonical channel list before committing.

Not for: writing the actual marketing copy (use the regular /workflow or specialist channel tools), verifying that an executed move worked (use /verify against SPEC.md), or generating a generic checklist (this is research-first).

Inputs read at run start

  • taste.md, taste.vision — what the project values, who it serves,

what it refuses to do.

  • SPEC.md (active) — what is currently shipping or just shipped.
  • Latest .taste/workflow-runs/*-workflow.md — what the dev has already

attempted recently.

  • Recent git log — what surfaces have been touched in the last week.
  • Any .taste/leveragepath/*.md from prior runs — moves already executed

or already declined, to avoid re-suggesting.

This skill does NOT read .env, .env.*, .claude/settings.local.json, secrets/**, customer artifacts, or private connector files.

Modes

scan (default)

Run the full leverage-path identification pipeline:

  1. Read inputs above.
  2. Define the project category (open-source dev tool? B2B SaaS? indie

game? academic project?) — used to scope which channel surfaces apply.

  1. Invoke /deepresearch with effective parallel budget on these

branches (use only the lanes that materially help):

  • Communities: which Discord servers, Slack workspaces, subreddits,

forums, mailing lists are active in this category in 2026?

  • Marketplaces / directories: which awesome-lists, plugin

directories, app stores, package registries are canonical?

  • Influencers / curators: who covers this category on blogs,

newsletters, podcasts, YouTube?

  • Conferences / events / live windows: anything time-sensitive

in the next 30 days?

  • Adjacent tools / collaborators: who is building close-but-not-

competing? PR / mention / collab opportunities?

  • Academic surfaces: arXiv, conference workshops, paper-citation

lanes if the project has academic legitimacy.

  1. For each move identified, compute a RICE-style score:
  • Reach — estimated audience size of the channel (verified live).
  • Impact — expected effect on the operator's stated goal (signups,

stars, paying customers, citations, etc.) on a 0.25–3 scale.

  • Confidence — how sure we are the move will land (60% / 80% /

100%).

  • Effort — total operator + Claude Code time in person-hours.
  • Score = (R × I × C) / E.
  1. Add four orthogonal tags per move:
  • auto (Claude Code can run it via tools) | manual (operator only)
  • community (targeted) | mass (broad)
  • time-sensitive (window in next 30d) | evergreen
  • reversible (can undo in /leveragepath.md` with sections:
  • Top 5 moves by RICE (the leverage punch list)
  • Auto-by-Claude Code (with the exact tool calls it should run)
  • Manual-by-operator (with copy-paste assets where applicable)
  • Time-sensitive (next 30 days) (windows ranked by start date)
  • Communities to target (Discord/Slack/forum invite URLs verified

live this run)

  • Adjacent collaborators (named, with public outreach surface)
  • Moats observed (research-surfaced advantages the dev is not

publicly articulating)

  • Blind spots observed (channels or angles the dev has not

considered, ranked by leverage)

  • Source ledger (cited / reviewed / rejected, with access date)
  • Kernel mutation candidates (if any — proposal-only, never

applied in scan mode)

apply

Execute one move from the most recent scan artifact. Only auto-tagged moves are eligible for apply; manual moves return a "blocked: operator must execute" status.

Auto moves typically include:

  • Open a GitHub issue or PR via gh CLI.
  • Submit a directory-listing PR to an awesome-list.
  • Update a static site with a positioning shift.
  • Write and queue a draft email via mailto: link generation.
  • Pin GitHub repos via API (where the operator has token).

apply mode runs the standard /opusworkflow outer route inside it: SPEC fragment for the move, /specqa, execute, verify against the move's success criteria from the scan artifact, post-execution /introspect. Closeout records the move's outcome back to the scan artifact for future iterations to skip.

kernel-propose

Read the most recent scan artifact. Extract the Moats observed and Blind spots observed sections. For each, produce a proposed diff to taste.md and/or taste.vision that surfaces the moat in the project's public positioning OR closes the blind spot in the project's strategic view.

kernel-propose produces a proposal artifact only. It does NOT modify taste.md or taste.vision. Apply uses the standard /defineicp proposal/apply semantics: explicit operator approval, file backup, hash record, changed-line trace, validation, rollback evidence.

Required scoring shape

Every move in the artifact must include:

### Move N: 

| Field | Value |
|---|---|
| RICE | (R × I × C) / E =  |
| R (Reach) |  |
| I (Impact) |  with one-line rationale |
| C (Confidence) |  with one-line rationale |
| E (Effort) |  |
| Auto/Manual |  |
| Community/Mass |  OR mass |
| Time |  |
| Reversibility |  |
| Blocker if any |  |
| Next concrete step |  |

The Top 5 list orders by descending RICE.

RICE framework lineage

RICE (Reach × Impact × Confidence / Effort) is the canonical product and growth prioritization framework as of 2026. Sources verified live:

This skill uses RICE as one layer in a four-layer stack:

  • Layer 1: RICE numeric ranking.
  • Layer 2: auto/manual orthogonal tag.
  • Layer 3: time-sensitivity orthogonal tag.
  • Layer 4: reversibility orthogonal tag.

The numeric ranking decides ordering; the orthogonal tags decide which moves the dev should execute first this hour vs this week vs this month.

Sibling-skill integration

  • /deepresearch is the research engine. /leveragepath scan invokes it

internally with the effective parallel budget computed via bash scripts/parallel-capacity.sh --json.

  • /introspect runs as the pre-write gate before the artifact is

written. Same hard-block semantics as the rest of the harness.

  • /defineicp is the kernel-mutation contract for kernel-propose

mode. The proposal artifact uses the same shape: target file backup, hash, changed-line trace, validation, rollback.

  • /opusworkflow is the outer route when apply mutates

files. Records inner_contract=leveragepath in the run artifact.

  • /icpweek is a sibling product-stress lens, not a substitute. ICP

week-in-the-life surfaces product mismatches with users; leveragepath surfaces channel mismatches with reach.

  • /visualizeworkflow --continue may follow a leveragepath scan when

the dev wants a visual of the channel surface before committing to any move.

Hard rules (no exceptions)

  • Every channel reach number must be verified live this run (citation

with access date). No pretrained-memory-only audience sizes.

  • Every community URL must be verified to resolve to an active

surface this run. Dead/stale links flagged or removed.

  • Move rankings must show R/I/C/E components, not just the score, so

the operator can challenge the inputs.

  • apply mode must not execute a move whose Auto/Manual field is

manual — it returns "blocked: operator action required" instead.

  • kernel-propose mode must not write to taste.md or taste.vision

— the proposal is artifact-only; mutation requires a separate operator-triggered /defineicp apply invocation.

  • The skill must surface at least one moat and at least one **blind

spot** in scan mode, OR explicitly state "no moats / blind spots surfaced this run" with the introspection rationale. Silence is not acceptable.

  • The artifact source ledger must list at least three distinct sources

and may not consist entirely of the project's own surfaces.

Anti-patterns

  • One-shot search-and-summary masquerading as a leverage scan.
  • Ranking only by reach (ignoring effort and confidence).
  • Mixing automatable and manual moves in a single execute command.
  • Recommending a time-sensitive move whose window already closed.
  • Skipping /introspect because the channel list "looks complete."
  • Proposing kernel changes in scan mode (kernel-propose is opt-in).
  • Failing to cite live URLs for community / directory targets.
  • Promising linear scaling: "post on N channels = N× the leverage" — same

problem honest-eta blocks for time estimates.

Output artifact contract

.taste/leveragepath//
  leveragepath.md            (the human-readable artifact)
  leveragepath.json          (the machine-readable summary, if scripts
                              are added in v2; v1 ships markdown only)
  source-ledger.md           (cited / reviewed / rejected sources;
                              optional — may be inlined in leveragepath.md
                              for v1)

Run IDs use the convention YYYYMMDD-HHMMSS UTC, matching other .taste/ subtree run IDs.

Provenance

This skill exists because in the 2026-05-11 session that produced the waitdeadai/llm-dark-patterns distribution wave, the operator and Claude Code organically performed all of these steps in an ad-hoc manner — identifying the Anthropic Discord (95k members) only after explicit research, sorting moves into auto vs manual under live time pressure, and missing several time-sensitive windows because no canonical surface scan ran first. /leveragepath codifies that ad-hoc work into a governed, repeatable skill.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.