Agent skill

Pp Haven Hot Chicken

by mvanhorn in mvanhorn/printing-press-library

Browse Haven menus, compare locations, and plan a meal from saved prices.

Apache-2.0Auto-check: notes

Install Pp Haven Hot Chicken

skills CLI
$ npx skills add mvanhorn/printing-press-library --skill pp-haven-hot-chicken -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mvanhorn/printing-press-library pp-haven-hot-chicken --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-skills/pp-haven-hot-chicken .claude/skills/pp-haven-hot-chicken && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pp-haven-hot-chicken
GitHub stars
2.1k
Token cost
~7k tokens
SKILL.md length
2,865 words
Files
1
Skills in repo
506
Repo updated
First seen
Licence
Apache-2.0

At a glance

Browse Haven menus, compare locations, and plan a meal from saved prices.

  • Works in 6 steps: recall before any discovery → decision tree → always read warnings → …
  • Phrases: check the Haven menu
  • SKILL.md covers Build from source, Prerequisites: Install the CLI, When to Use This CLI and Anti-triggers, plus 10 more sections
  • Calls go and npx

What it does

Pp Haven Hot Chicken is an agent skill from mvanhorn/printing-press-library. Browse Haven menus, compare locations, and plan a meal from saved prices. Trigger phrases: check the Haven menu, compare Haven prices, estimate a Haven meal subtotal, use haven-hot-chicken, run haven-hot-chicken.

Its SKILL.md is about 7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Official library of CLIs generated by the CLI Printing Press. Endorsed, tested, and community-contributed. The licence is Apache-2.0.

When your agent uses it

  • Phrases: check the Haven menu
  • Compare Haven prices
  • Estimate a Haven meal subtotal
  • Use haven-hot-chicken

Example prompts

  • “/pp-haven-hot-chicken”

Requirements

  • Node.js
  • Pre-approved tools (allowed-tools): Read, Bash

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. recall before any discovery
  2. decision tree
  3. always read warnings
  4. teach & after finalizing your response - always
  5. playbooks - optional flags, automatic synthesis
  6. playbook amend & when your debug response identifies a correction

What it can do on your machine

Read from SKILL.md and the folder at commit d9a1696. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • go
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pp Haven Hot Chicken loads about 7k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 2,865 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mvanhorn/printing-press-library at commit d9a1696, republished under its Apache-2.0 licence (© mvanhorn). 2,865 words, ~7,043 tokens.

Download SKILL.mdSave it as .claude/skills/pp-haven-hot-chicken/SKILL.md (or your agent's skills folder).
name
pp-haven-hot-chicken
description
Browse Haven menus, compare locations, and plan a meal from saved prices. Trigger phrases: `check the Haven menu`, `compare Haven prices`, `estimate a Haven meal subtotal`, `use haven-hot-chicken`, `run haven-hot-chicken`.
allowed-tools
Read, Bash
author
matthew.martin
license
Apache-2.0
argument-hint
<command> [args] | install cli|mcp
<!-- GENERATED FILE — DO NOT EDIT.
     This file is a verbatim mirror of library/food-and-dining/haven-hot-chicken/SKILL.md,
     regenerated post-merge by tools/generate-skills/. Hand-edits here are
     silently overwritten on the next regen. Edit the library/ source instead.
     See the repository agent guide, section "Generated artifacts: registry.json, cli-skills/". -->

Haven Hot Chicken — Printing Press CLI

Build from source

From this source directory, build the CLI with Go 1.26.6 or newer:

powershell
go build -o haven-hot-chicken-pp-cli.exe ./cmd/haven-hot-chicken-pp-cli
./haven-hot-chicken-pp-cli.exe --help

Examples below use the binary name; use its full path when its folder is not on PATH. No API key or login is required for this public menu scope.

Prerequisites: Install the CLI

This skill drives the haven-hot-chicken-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:

  1. Install via the Printing Press installer. It defaults binaries to $HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows:
    bash
    npx -y @mvanhorn/printing-press-library install haven-hot-chicken --cli-only
  2. Verify: haven-hot-chicken-pp-cli --version
  3. Ensure the reported install directory is on $PATH for the agent/runtime that will invoke this skill.

If the npx install fails (no Node, offline, etc.), fall back to a direct Go install (requires Go 1.26.6 or newer). This installs into $GOPATH/bin (default $HOME/go/bin), so add that directory to $PATH instead:

bash
go install github.com/mvanhorn/printing-press-library/library/food-and-dining/haven-hot-chicken/cmd/haven-hot-chicken-pp-cli@latest

If --version reports "command not found" after install, the runtime cannot see the binary directory on $PATH. Do not proceed with skill commands until verification succeeds.

Fetch public Haven location menus and item options. Save menus locally to compare prices, estimate base subtotals, inspect changes and find shared availability.

When to Use This CLI

Use this CLI for public Haven menus, location details, item options and comparisons over saved menus. Refresh before relying on changing prices or availability.

Anti-triggers

Unsupported workflows:

  • Placing or paying for orders.
  • Account rewards or order history.
  • Do not treat menu text as allergen advice or base subtotals as checkout totals.

Unique Capabilities

Saved-menu tools.

Saved menu comparisons
  • haven compare — Compare the same named menu item across saved location menus.

    Compare the same named menu item across saved location menus.

    bash
    haven-hot-chicken-pp-cli haven compare --item "The Sandwich" --locations 14208,14205 --agent
  • haven changes — Show additions, removals, price and availability changes between two complete saved menus.

    Show additions, removals, price and availability changes between two complete saved menus.

    bash
    haven-hot-chicken-pp-cli haven changes --location 14208 --agent
  • haven common — Find items marked available in every selected saved location menu.

    Find items marked available in every selected saved location menu.

    bash
    haven-hot-chicken-pp-cli haven common --locations 14208,14205 --agent
Meal and pickup planning
  • haven subtotal — Estimate a meal base-price subtotal from explicit item IDs and quantities.

    Estimate a meal base-price subtotal from explicit item IDs and quantities.

    bash
    haven-hot-chicken-pp-cli haven subtotal --location 14208 --item 9656289=2 --agent
  • haven nearby — Rank saved shops by straight-line distance from supplied coordinates.

    Rank saved shops by straight-line distance from supplied coordinates.

    bash
    haven-hot-chicken-pp-cli haven nearby --lat 41.3 --lon -72.9 --agent

Command Reference

items — Manage items

locations — Manage locations

  • haven-hot-chicken-pp-cli locations get — Get location
  • haven-hot-chicken-pp-cli locations list — List locations

menu-categories — Manage menu categories

  • haven-hot-chicken-pp-cli menu-categories — List menu categories

menus — Manage menus

  • haven-hot-chicken-pp-cli menus — List menus
Finding the right command

When you know what you want to do but not which command does it, ask the CLI directly:

bash
haven-hot-chicken-pp-cli which "<capability in your own words>"

which resolves a natural-language capability query to the best matching command from this CLI's curated feature index. Exit code 0 means at least one match; exit code 2 means no confident match — fall back to --help or use a narrower query. --json (and other machine formats) keep that exit-2 contract and write {"matches":[]} on stdout so agents can inspect the envelope without treating a miss as success.

Recipes

Compact menu
bash
haven-hot-chicken-pp-cli haven menu --location 14208 --agent --select items.name,items.price_cents

Return only saved item names and base prices.

Shared choices
bash
haven-hot-chicken-pp-cli haven common --locations 14208,14205 --agent

Find items available in both saved menus.

Saved changes
bash
haven-hot-chicken-pp-cli haven changes --location 14208 --agent

Compare the two newest complete observations when available.

Auth Setup

Public menu and location commands require no login or API key. The brand-routing header is a public identifier. Orders, payments, rewards and account history are outside this CLI.

Run haven-hot-chicken-pp-cli doctor to verify setup.

Agent Mode

Add --agent to any command. Expands to: --json --compact --no-input --no-color.

Global format flags share one contract on promoted, novel, sync, and --deliver paths:

  • --json — one JSON document on stdout (sync progress events go to stderr)

  • --compact — keep identity/status/timestamp fields; does not change the document vs stream shape

  • --csv / --plain — tabular rows (collection envelopes unwrap to the row array)

  • --quiet — one identity value per row, no envelope

  • Pipeable — JSON on stdout, errors on stderr

  • Filterable — --select keeps a subset of fields. Dotted paths descend into nested structures; arrays traverse element-wise. Critical for keeping context small on verbose APIs:

    bash
    haven-hot-chicken-pp-cli locations list --agent --select alert_banner,business_hours,city
  • Previewable — --dry-run shows the request without sending

  • Offline-friendly — sync/search commands can use the local SQLite store when available

  • Non-interactive — never prompts, every input is a flag

  • Read-only — do not use this CLI for create, update, delete, publish, comment, upvote, invite, order, send, or other mutating requests

Response envelope

With --agent, Haven commands wrap output in a provenance envelope. With plain --json, Haven commands return their command-specific object directly; generated API commands may include provenance in either mode:

json
{
  "meta": {"source": "live" | "local", "synced_at": "...", "reason": "..."},
  "results": <data>
}

Parse .results for data and .meta.source to know whether it's live or local. A human-readable N results (live) summary is printed to stderr only when stdout is a terminal AND no machine-format flag (--json, --csv, --compact, --quiet, --plain, --select) is set — piped/agent consumers and explicit-format runs get pure JSON on stdout.

Paths and state

Agents should treat the CLI's path resolver as part of the runtime contract:

  • Use --home <dir> for one invocation, or set HAVEN_HOT_CHICKEN_HOME=<dir> to relocate all four path kinds under one root.

  • Use per-kind env vars only when a specific kind must diverge: HAVEN_HOT_CHICKEN_CONFIG_DIR, HAVEN_HOT_CHICKEN_DATA_DIR, HAVEN_HOT_CHICKEN_STATE_DIR, HAVEN_HOT_CHICKEN_CACHE_DIR.

  • Resolution order is per-kind env var, --home, HAVEN_HOT_CHICKEN_HOME, XDG (XDG_CONFIG_HOME, XDG_DATA_HOME, XDG_STATE_HOME, XDG_CACHE_HOME), then platform defaults.

  • config contains settings like config.toml and profiles. data contains credentials.toml, data.db, cookies, and auth sidecars. state contains persisted queries, jobs, and teach.log. cache contains regenerable HTTP/cache files.

  • Stored secrets live in credentials.toml under the data dir. Existing legacy config.toml secrets are read for compatibility and leave config.toml on the first auth write.

  • Run haven-hot-chicken-pp-cli doctor --fail-on warn to surface path warnings. agent-context exposes a schema v4 paths block for agents that need the resolved dirs.

  • For MCP, pass relocation through the MCP host config. The MCP binary does not inherit CLI flags:

    json
    {
      "mcpServers": {
        "haven-hot-chicken": {
          "command": "haven-hot-chicken-pp-mcp",
          "env": {
            "HAVEN_HOT_CHICKEN_HOME": "/srv/haven-hot-chicken"
          }
        }
      }
    }

Fleet precedence: an inherited per-kind env var overrides an explicit --home for that kind. Use HAVEN_HOT_CHICKEN_HOME or per-kind vars as durable fleet levers, and use --home only for a single invocation. Relocation is not reversible by unsetting env vars; move files manually before clearing HAVEN_HOT_CHICKEN_HOME, or doctor will not find credentials left under the former root.

Automatic learning

This CLI ships a self-capturing learning loop. The CLI does its own bookkeeping: every invocation is journaled locally, a failed flag followed by a corrected retry auto-derives a flag_alias candidate, and a teach on a query family without a playbook auto-synthesizes a playbook_candidate from the session's journal. Your job is judgment only: recall first, act on surfaced candidates, teach the final answer, playbook amend when you observe a correction. You never record failures by hand.

Step 1: recall before any discovery

Before list/search/drill commands on a new user question, pass the question as an argv or MCP tool argument to recall --agent. Do not interpolate user-controlled text into a shell command line.

Quoted recall "<question>" breaks on an apostrophe, which is ordinary English. A quoted heredoc breaks when a body line equals the delimiter, and that delimiter is published in these docs. Write the question with a non-shell file-writing tool, then read it back as data:

bash
# Write the question verbatim with your file-writing tool (no shell involved).
# Command substitution on a file only ever yields data — the shell never
# parses the file's bytes as syntax.
QUERY=$(cat /path/to/question.txt)
haven-hot-chicken-pp-cli recall "$QUERY" --agent

Prefer MCP: pass the question as the tool's query argument. "$QUERY" after a file read is argv-safe; putting the question itself in the command text is not.

The response envelope:

json
{
  "query": "...",
  "normalized": "<normalized form>",
  "query_entities": ["..."],
  "found": true | false,
  "match_score": 0.0,
  "results": [
    { "resource_id": "...", "resource_type": "...", "venue": "...",
      "confidence": 2, "entity_match": "exact|partial|unknown",
      "source": "taught|preseed|pattern", "warnings": ["..."] }
  ],
  "mismatches": [ /* only when --debug-mismatches */ ],
  "warnings": [ /* top-level */ ],
  "candidates": [
    { "id": 12, "class": "flag_alias | playbook_candidate",
      "summary": "...", "sightings": 3, "last_seen": "...",
      "rationale": "...",
      "next_action": ["<trial command>", "haven-hot-chicken-pp-cli learnings confirm 12"] }
  ],
  "playbook": {
    "query_family": "...",
    "playbook": {
      "steps": [ { "cmd": "<command with {slot} substitution>", "purpose": "..." } ],
      "entity_slots": ["$ENTITY"],
      "expected_tool_calls": 3
    },
    "slots_resolved": { "$ENTITY": { "token": "<live token>", "canonical": "<canonical>" } },
    "notes": "<workarounds + gotchas for this query family>"
  },
  "notes": "<duplicate surface for non-playbook callers>"
}

Empty-store short-circuit: if the store has no learnings, playbooks, or candidates yet (recall finds nothing and learnings list and learnings candidates are both empty), skip recall for the rest of this session instead of taxing every query; resume recall-first once something has been taught.

Step 2: decision tree

Read candidates, playbook, notes, results[0], and warnings in that order:

if Candidates present (warnings include "candidates_present"):
    -> candidates are try-then-confirm, never facts. Follow each candidate's
       two-step next_action verbatim: run the trial command first, then run
       `learnings confirm <id>` only after the trial verified the behavior.
       Reject a wrong candidate with `learnings reject <id>`.
    -> NEVER re-teach something recall surfaced as a candidate; confirm or
       reject that candidate instead of teaching a duplicate.
    -> candidates ride alongside playbooks and resource hits, not instead of
       them; continue with the branches below after acting on them.

if Playbook present:
    -> READ Playbook.notes verbatim FIRST (workarounds + gotchas the CLI surface doesn't expose)
    -> replay Playbook.steps in order, substituting Playbook.slots_resolved entries
       for the entity slot tokens. If a step's slot is unresolved, fall back to
       discovery for that step only.
    -> the Playbook's expected_tool_calls is a budget; if you find yourself running
       materially more, record the divergence via `haven-hot-chicken-pp-cli playbook amend`
       at end-of-session.

elif Notes present (no Playbook):
    -> read Notes verbatim before any discovery step; they carry known gotchas
       for this query family even when no structured choreography exists yet.

elif Found AND Results[0].EntityMatch == "exact" AND Results[0].Confidence >= 2:
    -> skip discovery; fetch live data for Results[*].ResourceID in parallel

elif Found AND Results[0].EntityMatch == "partial":
    -> candidate hint, NOT a hit; read the resource title to validate before trusting

elif (any row in Mismatches[] when --debug-mismatches was passed):
    -> treat as cold start; the stored learning is for a different entity
       (different canonical resolved from query_entities)

else:  // Found == false, no playbook, no notes
    -> cold start; run discovery normally; teach the answer afterward (Step 4).
       If the family has no playbook yet, that teach auto-synthesizes a
       playbook candidate from this session's journal - you do not need to
       record one by hand.

Playbook and Notes are orthogonal to the per-resource path. A recall response can carry both a Playbook AND a Results[] hit - use both: the Playbook tells you which choreography to run; the resource hits short-circuit specific steps. Default to skipping mismatches; pass --debug-mismatches only when investigating cold-start surprises.

Candidate judgment details: learnings confirm <id> prints the candidate's full payload before materializing it - check that the printed payload matches the behavior you verified. learnings reject <id> tombstones the derivation signature so the same candidate does not resurface. The envelope carries only the few candidates worth acting on now; haven-hot-chicken-pp-cli learnings candidates lists the full open set.

Graceful degradation: if learnings confirm is an unknown command, you are driving an older binary - ignore the candidates guidance and follow the rest of the protocol.

Step 3: always read warnings
  • low_confidence: row exists at confidence<2. Treat as a hint, not a skip-discovery hit.
  • resource_not_in_store: the local store doesn't have the resource the learning points at. The match validator couldn't classify entities — direct-fetch and re-evaluate.
  • cross_alias_match (per-result): the row was taught under a different alias and matched the live query's canonical via entity_lookups (e.g., a "USA" teach satisfying a "United States" recall). Trust the resource_id.
  • similar_shape_different_entity:<canonical> (top-level): a structurally matching row exists but its canonical entity differs from the live query's. Treated as cold start; the warning carries the conflicting canonical as a hint, but the row is NOT promoted into Results.
  • ambiguous_alias (top-level): a single query entity resolved to multiple canonicals (e.g., "Cards" → Arizona Cardinals + St. Louis Cardinals). Surface the ambiguity from context before committing to a resource.
  • candidates_present (top-level): the envelope carries a candidates section. Handle it via the candidates branch in Step 2 before anything else.
  • lookup_refresh_available (top-level): an entity in the query has no lookup row yet, but synced data could provide one. Run haven-hot-chicken-pp-cli sync to refresh entity lookups.
  • Top-level no_learnings_for_query_family: the table had no rows above the Jaccard floor. Pure cold start.
Show full SKILL.md (1,289 more words)Show less
Step 4: teach & after finalizing your response - always

Teaching is unconditional. After resolving a query the store could not answer, background-teach the final resource mapping - no call-count threshold, no judging whether it was "worth" learning. The teach is the anchor of the loop: it triggers playbook synthesis for a family without a playbook, and same-referent phrasings fold into one family so near-duplicate teaches do not fragment the store. Fire it after assembling your user-facing response but BEFORE emitting it, with a shell & so the call returns immediately. Pass the query the same way as recall — argv/MCP, or file-then-$QUERY. Do not splice the question into the command text:

bash
QUERY=$(cat /path/to/question.txt)
haven-hot-chicken-pp-cli teach --query "$QUERY" --resource-type <type> --resource <id1> --resource <id2>
# (append shell `&` to background it)

Silent on success. Errors only land in teach.log under the resolved state dir. Teach the most specific resource - if the user asked a broad question and you walked through parent records to find the specific answer, teach the leaf id, not the parent. The CLI uses seeded entity_lookups for cross-alias resolution at recall time, so a teach under one alias (e.g., "Niners") satisfies future queries under another alias (e.g., "49ers", "San Francisco") automatically.

PII rule: teach the structural question with identifiers stripped - never include names, emails, phone numbers, account ids, or other personal identifiers in taught queries or notes. The CLI scans teach queries for obvious email/phone shapes and warns, but does not block; strip before teaching rather than relying on the warning.

Step 5: playbooks - optional flags, automatic synthesis

You do not need to decide whether a session "deserves" a playbook: a teach on a family without one auto-synthesizes a playbook_candidate from the session's journal, and the next session judges it via confirm/reject. Attach explicit playbook flags only when you already hold choreography worth recording verbatim - workarounds the CLI didn't surface (silently-dropped flags, undocumented params, pagination tricks, payload gotchas). Prefer the integrated one-call form - record the resource learning and the playbook in the same teach invocation:

bash
# Common case: record both the resource learning AND the playbook in one call.
QUERY=$(cat /path/to/question.txt)
haven-hot-chicken-pp-cli teach \
  --query "$QUERY" \
  --resource <id> \
  --playbook-file ~/playbooks/<shape>.json \
  --playbook-notes-file ~/playbooks/<shape>-notes.md
# (append shell `&` to background it)

# Alternate: playbook-only (no resource to record alongside).
QUERY=$(cat /path/to/question.txt)
haven-hot-chicken-pp-cli teach-playbook \
  --query "$QUERY" \
  --playbook-file ~/playbooks/<shape>.json \
  --notes-file ~/playbooks/<shape>-notes.md

Playbook files are JSON with steps, entity_slots, expected_tool_calls. Notes files are markdown carrying the gotchas verbatim. File-free callers (MCP-only agents) pass the same content inline: --playbook-json and --playbook-notes on the integrated teach form, --playbook-json and --notes on teach-playbook. On the integrated teach form, the playbook flags are optional - omit them entirely for a resource-only teach. On the standalone teach-playbook form, at least one of the playbook and notes flags must be set; both empty is rejected. Playbooks are keyed on the structural query family (entities stripped) so a recipe taught from one entity-shaped query applies to every other query of the same shape, with slots_resolved binding the live query's canonical at recall time.

When you DO find a playbook on a future recall, treat it as ground truth: replay the steps with slots_resolved substitutions, skip the discovery that the choreography already documents, and read notes before any step.

Step 6: playbook amend & when your debug response identifies a correction

If your debug-protocol response identifies a concrete correction the notes or playbook should know — a workaround, an undocumented endpoint shape, a stale field name, observed schema drift, an empty-payload fallback — fire playbook amend BEFORE emitting your user-facing response. Same fire-and-forget posture as teach. Pass the query and note as argv/MCP arguments, or write each with a non-shell file tool and read them back (QUERY=$(cat ...), NOTE=$(cat ...)). Do not interpolate either string into the command text:

bash
QUERY=$(cat /path/to/question.txt)
NOTE=$(cat /path/to/note.txt)
haven-hot-chicken-pp-cli playbook amend \
  --query "$QUERY" \
  --add-note "$NOTE"
# (append shell `&` to background it)

What counts as worth amending: a behavior you OBSERVED this session that future-you would benefit from knowing. Examples worth amending:

  • A workaround for a CLI surface that silently drops or misorders a flag.
  • An undocumented endpoint shape (response wrapped in {meta, results}, payload nested two levels deeper than the docs claim).
  • Observed schema drift (a field renamed, an index that shifted between seasons, a category label that the API now returns lower-cased).

What does NOT belong in notes:

  • The year-specific or entity-specific answer to the user's question. That's the response, not a learning.
  • Per-team / per-athlete / per-row data the playbook already retrieves at runtime.
  • Statements that paraphrase what the existing notes already say.

The amend command appends to the family's existing notes with a timestamped marker ([amend YYYY-MM-DDTHH:MMZ]: <text>). Multiple amends accumulate; the audit trail is visible. If no playbook exists yet for the family, amend creates a notes-only one (so cold-start corrections still land).

PII discipline for amend notes

playbook amend notes are designed to potentially flow upstream as shared knowledge in future versions of the Printing Press. Keep them clean of user-identifying content so the upstream-contribution path stays open without retroactive scrubbing:

  • Do NOT embed paths to user filesystems, personal API keys or tokens, user email addresses, user GitHub handles, or specific query histories tied to a single user.
  • Acceptable: endpoint shapes, undocumented field names, API gotchas, observed schema drift, workarounds for CLI surfaces, generalizable pagination or retry tactics.

If a correction is only meaningful with user-specific context, it belongs in a personal note, not in the playbook amend.

Measuring the loop

haven-hot-chicken-pp-cli learnings stats reports recall hit rate, teach-to-reuse, playbook resolution rate, and candidate confirm/reject counts from the local learn_events table. Rates are null until they have a denominator; everything stays on this machine. Use it to check whether the loop is earning its keep for this CLI.

Disabling learning
  • --no-learn on a single command short-circuits both recall and the teach write path. Use for deterministic agent flows or tests that must not be affected by accumulated learnings.
  • HAVEN_HOT_CHICKEN_NO_LEARN=true in the environment globally disables the pipeline.

Agent Feedback

When you (or the agent) notice something off about this CLI, record it:

haven-hot-chicken-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
haven-hot-chicken-pp-cli feedback --stdin < notes.txt
haven-hot-chicken-pp-cli feedback list --json --limit 10

Entries are stored locally as feedback.jsonl under the resolved data dir. They are never POSTed unless HAVEN_HOT_CHICKEN_FEEDBACK_ENDPOINT is set AND either --send is passed or HAVEN_HOT_CHICKEN_FEEDBACK_AUTO_SEND=true. Default behavior is local-only.

Write what surprised you, not a bug report. Short, specific, one line: that is the part that compounds.

Output Delivery

Every command accepts --deliver <sink>. The output goes to the named sink in addition to (or instead of) stdout, so agents can route command results without hand-piping. Three sinks are supported:

SinkEffect
stdoutDefault; write to stdout only
file:<path>Atomically write output to <path> (tmp + rename). Binary-response commands write decoded payload bytes (not the base64 JSON envelope) and print a small JSON receipt on stdout; --json/--csv do not refuse when this sink is set.
webhook:<url>POST the output body to the URL (application/json)

Unknown schemes are refused with a structured error naming the supported set. Webhook failures return non-zero and log the URL + HTTP status on stderr.

Named Profiles

A profile is a saved set of flag values, reused across invocations. Use it when a scheduled or recurring agent reuses the same saved flags while providing different input each run.

haven-hot-chicken-pp-cli profile save briefing --json
haven-hot-chicken-pp-cli --profile briefing locations list
haven-hot-chicken-pp-cli profile list --json
haven-hot-chicken-pp-cli profile show briefing
haven-hot-chicken-pp-cli profile delete briefing --yes

Explicit flags always win over profile values; profile values win over defaults. agent-context lists all available profiles under available_profiles so introspecting agents discover them at runtime.

Exit Codes

CodeMeaning
0Success
2Usage error (wrong arguments)
3Resource not found
5API error (upstream issue)
7Rate limited (wait and retry)
10Config error

Argument Parsing

Parse $ARGUMENTS:

  1. Empty, help, or --help → show haven-hot-chicken-pp-cli --help output
  2. Starts with install → ends with mcp → MCP installation; otherwise → see Prerequisites above
  3. Anything else → Direct Use (execute as CLI command with --agent)

MCP Server

An optional stdio MCP executable can be built locally:

powershell
go build -o haven-hot-chicken-pp-mcp.exe ./cmd/haven-hot-chicken-pp-mcp

Register its absolute path in the user's chosen MCP host only when requested. No host configuration is required for ordinary CLI use.

Direct Use

  1. Check if installed: Get-Command haven-hot-chicken-pp-cli If not found, offer to install (see Prerequisites at the top of this skill).
  2. Match the user query to the best command from the Unique Capabilities and Command Reference above.
  3. Execute with the --agent flag:
    bash
    haven-hot-chicken-pp-cli haven menu --location 14208 --agent
  4. If ambiguous, drill into subcommand help: haven-hot-chicken-pp-cli haven menu --help.

© mvanhorn, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in cli-skills/pp-haven-hot-chicken of mvanhorn/printing-press-library.

Open the folder on GitHubat commit d9a1696

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Questions about Pp Haven Hot Chicken

What does Pp Haven Hot Chicken do?

Browse Haven menus, compare locations, and plan a meal from saved prices. Pp Haven Hot Chicken is an agent skill from mvanhorn/printing-press-library. Browse Haven menus, compare locations, and plan a meal from saved prices.

When should I use Pp Haven Hot Chicken?

Pp Haven Hot Chicken fits situations like: phrases: check the Haven menu; compare Haven prices; estimate a Haven meal subtotal; use haven-hot-chicken.

How do I install Pp Haven Hot Chicken in Claude Code?

Run `npx skills add mvanhorn/printing-press-library --skill pp-haven-hot-chicken -a claude-code`. Or copy the skill folder (cli-skills/pp-haven-hot-chicken in mvanhorn/printing-press-library) into .claude/skills/pp-haven-hot-chicken in your project. Claude Code loads it when a task matches its description.

How do I install Pp Haven Hot Chicken in Codex?

Run `npx skills add mvanhorn/printing-press-library --skill pp-haven-hot-chicken -a codex`. Or copy the skill folder (cli-skills/pp-haven-hot-chicken in mvanhorn/printing-press-library) into .agents/skills/pp-haven-hot-chicken in your project. Codex loads it when a task matches its description.

Can I use Pp Haven Hot Chicken in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mvanhorn/printing-press-library --skill pp-haven-hot-chicken -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pp-haven-hot-chicken, .gemini/skills/pp-haven-hot-chicken, .github/skills/pp-haven-hot-chicken and .opencode/skills/pp-haven-hot-chicken in your project.

What does Pp Haven Hot Chicken need to run?

Going by SKILL.md and its folder, Pp Haven Hot Chicken needs the command-line tools its instructions call (go and npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Bash.

Does Pp Haven Hot Chicken access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Pp Haven Hot Chicken safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Pp Haven Hot Chicken use?

Pp Haven Hot Chicken is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pp Haven Hot Chicken use?

About 7k tokens (SKILL.md is roughly 28k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Pp Haven Hot Chicken?

Skills that share tags, products or a category with Pp Haven Hot Chicken: Browse (yc-software/qm, 15k stars), Logic Locate (sickn33/agentic-awesome-skills, 47k stars), Skill Locations (remotion-dev/remotion, 63k stars) and Geo Compare (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pp Haven Hot Chicken?

mvanhorn (a GitHub user) maintains it in mvanhorn/printing-press-library, which has 2,056 GitHub stars. The repository holds 506 skills in this directory. The repository was last updated on October 9, 2026.

Source: mvanhorn/printing-press-library on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.