init claude-code
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import { memoize } from 'lodash-es'
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import type { Command } from 'src/commands.js'
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import {
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getCommandName,
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getSkillToolCommands,
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getSlashCommandToolSkills,
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} from 'src/commands.js'
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import { COMMAND_NAME_TAG } from '../../constants/xml.js'
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import { stringWidth } from '../../ink/stringWidth.js'
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import {
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type AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
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logEvent,
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} from '../../services/analytics/index.js'
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import { count } from '../../utils/array.js'
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import { logForDebugging } from '../../utils/debug.js'
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import { toError } from '../../utils/errors.js'
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import { truncate } from '../../utils/format.js'
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import { logError } from '../../utils/log.js'
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// Skill listing gets 1% of the context window (in characters)
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export const SKILL_BUDGET_CONTEXT_PERCENT = 0.01
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export const CHARS_PER_TOKEN = 4
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export const DEFAULT_CHAR_BUDGET = 8_000 // Fallback: 1% of 200k × 4
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// Per-entry hard cap. The listing is for discovery only — the Skill tool loads
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// full content on invoke, so verbose whenToUse strings waste turn-1 cache_creation
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// tokens without improving match rate. Applies to all entries, including bundled,
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// since the cap is generous enough to preserve the core use case.
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export const MAX_LISTING_DESC_CHARS = 250
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export function getCharBudget(contextWindowTokens?: number): number {
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if (Number(process.env.SLASH_COMMAND_TOOL_CHAR_BUDGET)) {
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return Number(process.env.SLASH_COMMAND_TOOL_CHAR_BUDGET)
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}
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if (contextWindowTokens) {
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return Math.floor(
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contextWindowTokens * CHARS_PER_TOKEN * SKILL_BUDGET_CONTEXT_PERCENT,
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)
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}
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return DEFAULT_CHAR_BUDGET
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}
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function getCommandDescription(cmd: Command): string {
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const desc = cmd.whenToUse
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? `${cmd.description} - ${cmd.whenToUse}`
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: cmd.description
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return desc.length > MAX_LISTING_DESC_CHARS
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? desc.slice(0, MAX_LISTING_DESC_CHARS - 1) + '\u2026'
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: desc
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}
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function formatCommandDescription(cmd: Command): string {
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// Debug: log if userFacingName differs from cmd.name for plugin skills
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const displayName = getCommandName(cmd)
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if (
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cmd.name !== displayName &&
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cmd.type === 'prompt' &&
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cmd.source === 'plugin'
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) {
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logForDebugging(
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`Skill prompt: showing "${cmd.name}" (userFacingName="${displayName}")`,
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)
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}
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return `- ${cmd.name}: ${getCommandDescription(cmd)}`
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}
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const MIN_DESC_LENGTH = 20
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export function formatCommandsWithinBudget(
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commands: Command[],
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contextWindowTokens?: number,
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): string {
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if (commands.length === 0) return ''
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const budget = getCharBudget(contextWindowTokens)
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// Try full descriptions first
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const fullEntries = commands.map(cmd => ({
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cmd,
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full: formatCommandDescription(cmd),
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}))
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// join('\n') produces N-1 newlines for N entries
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const fullTotal =
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fullEntries.reduce((sum, e) => sum + stringWidth(e.full), 0) +
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(fullEntries.length - 1)
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if (fullTotal <= budget) {
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return fullEntries.map(e => e.full).join('\n')
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}
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// Partition into bundled (never truncated) and rest
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const bundledIndices = new Set<number>()
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const restCommands: Command[] = []
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for (let i = 0; i < commands.length; i++) {
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const cmd = commands[i]!
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if (cmd.type === 'prompt' && cmd.source === 'bundled') {
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bundledIndices.add(i)
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} else {
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restCommands.push(cmd)
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}
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}
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// Compute space used by bundled skills (full descriptions, always preserved)
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const bundledChars = fullEntries.reduce(
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(sum, e, i) =>
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bundledIndices.has(i) ? sum + stringWidth(e.full) + 1 : sum,
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0,
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)
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const remainingBudget = budget - bundledChars
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// Calculate max description length for non-bundled commands
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if (restCommands.length === 0) {
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return fullEntries.map(e => e.full).join('\n')
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}
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const restNameOverhead =
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restCommands.reduce((sum, cmd) => sum + stringWidth(cmd.name) + 4, 0) +
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(restCommands.length - 1)
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const availableForDescs = remainingBudget - restNameOverhead
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const maxDescLen = Math.floor(availableForDescs / restCommands.length)
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if (maxDescLen < MIN_DESC_LENGTH) {
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// Extreme case: non-bundled go names-only, bundled keep descriptions
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if (process.env.USER_TYPE === 'ant') {
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logEvent('tengu_skill_descriptions_truncated', {
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skill_count: commands.length,
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budget,
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full_total: fullTotal,
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truncation_mode:
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'names_only' as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
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max_desc_length: maxDescLen,
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bundled_count: bundledIndices.size,
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bundled_chars: bundledChars,
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})
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}
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return commands
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.map((cmd, i) =>
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bundledIndices.has(i) ? fullEntries[i]!.full : `- ${cmd.name}`,
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)
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.join('\n')
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}
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// Truncate non-bundled descriptions to fit within budget
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const truncatedCount = count(
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restCommands,
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cmd => stringWidth(getCommandDescription(cmd)) > maxDescLen,
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)
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if (process.env.USER_TYPE === 'ant') {
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logEvent('tengu_skill_descriptions_truncated', {
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skill_count: commands.length,
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budget,
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full_total: fullTotal,
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truncation_mode:
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'description_trimmed' as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
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max_desc_length: maxDescLen,
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truncated_count: truncatedCount,
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// Count of bundled skills included in this prompt (excludes skills with disableModelInvocation)
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bundled_count: bundledIndices.size,
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bundled_chars: bundledChars,
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})
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}
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return commands
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.map((cmd, i) => {
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// Bundled skills always get full descriptions
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if (bundledIndices.has(i)) return fullEntries[i]!.full
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const description = getCommandDescription(cmd)
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return `- ${cmd.name}: ${truncate(description, maxDescLen)}`
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})
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.join('\n')
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}
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export const getPrompt = memoize(async (_cwd: string): Promise<string> => {
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return `Execute a skill within the main conversation
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When users ask you to perform tasks, check if any of the available skills match. Skills provide specialized capabilities and domain knowledge.
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When users reference a "slash command" or "/<something>" (e.g., "/commit", "/review-pr"), they are referring to a skill. Use this tool to invoke it.
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How to invoke:
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- Use this tool with the skill name and optional arguments
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- Examples:
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- \`skill: "pdf"\` - invoke the pdf skill
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- \`skill: "commit", args: "-m 'Fix bug'"\` - invoke with arguments
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- \`skill: "review-pr", args: "123"\` - invoke with arguments
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- \`skill: "ms-office-suite:pdf"\` - invoke using fully qualified name
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Important:
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- Available skills are listed in system-reminder messages in the conversation
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- When a skill matches the user's request, this is a BLOCKING REQUIREMENT: invoke the relevant Skill tool BEFORE generating any other response about the task
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- NEVER mention a skill without actually calling this tool
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- Do not invoke a skill that is already running
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- Do not use this tool for built-in CLI commands (like /help, /clear, etc.)
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- If you see a <${COMMAND_NAME_TAG}> tag in the current conversation turn, the skill has ALREADY been loaded - follow the instructions directly instead of calling this tool again
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`
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})
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export async function getSkillToolInfo(cwd: string): Promise<{
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totalCommands: number
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includedCommands: number
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}> {
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const agentCommands = await getSkillToolCommands(cwd)
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return {
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totalCommands: agentCommands.length,
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includedCommands: agentCommands.length,
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}
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}
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// Returns the commands included in the SkillTool prompt.
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// All commands are always included (descriptions may be truncated to fit budget).
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// Used by analyzeContext to count skill tokens.
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export function getLimitedSkillToolCommands(cwd: string): Promise<Command[]> {
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return getSkillToolCommands(cwd)
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}
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export function clearPromptCache(): void {
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getPrompt.cache?.clear?.()
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}
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export async function getSkillInfo(cwd: string): Promise<{
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totalSkills: number
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includedSkills: number
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}> {
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try {
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const skills = await getSlashCommandToolSkills(cwd)
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return {
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totalSkills: skills.length,
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includedSkills: skills.length,
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}
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} catch (error) {
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logError(toError(error))
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// Return zeros rather than throwing - let caller decide how to handle
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return {
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totalSkills: 0,
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includedSkills: 0,
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}
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}
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}
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